Overview

Dataset statistics

Number of variables104
Number of observations56127
Missing cells640351
Missing cells (%)11.0%
Total size in memory44.6 MiB
Average record size in memory833.0 B

Variable types

Numeric94
Text9
Boolean1

Alerts

ticking has constant value ""Constant
Accurate Crosses - away has 2900 (5.2%) missing valuesMissing
Accurate Crosses - home has 2879 (5.1%) missing valuesMissing
Assists - away has 26239 (46.7%) missing valuesMissing
Assists - home has 26237 (46.7%) missing valuesMissing
Ball Safe - away has 21456 (38.2%) missing valuesMissing
Ball Safe - home has 21452 (38.2%) missing valuesMissing
Challenges - away has 4492 (8.0%) missing valuesMissing
Challenges - home has 4485 (8.0%) missing valuesMissing
Counter Attacks - away has 36836 (65.6%) missing valuesMissing
Counter Attacks - home has 36834 (65.6%) missing valuesMissing
Dribble Attempts - away has 7466 (13.3%) missing valuesMissing
Dribble Attempts - home has 7441 (13.3%) missing valuesMissing
Fouls - away has 1566 (2.8%) missing valuesMissing
Fouls - home has 1555 (2.8%) missing valuesMissing
Free Kicks - away has 51075 (91.0%) missing valuesMissing
Free Kicks - home has 51075 (91.0%) missing valuesMissing
Goal Attempts - away has 25309 (45.1%) missing valuesMissing
Goal Attempts - home has 25302 (45.1%) missing valuesMissing
Goal Kicks - away has 4376 (7.8%) missing valuesMissing
Goal Kicks - home has 4369 (7.8%) missing valuesMissing
Headers - away has 9678 (17.2%) missing valuesMissing
Headers - home has 9672 (17.2%) missing valuesMissing
Injuries - away has 41602 (74.1%) missing valuesMissing
Injuries - home has 41600 (74.1%) missing valuesMissing
Interceptions - away has 4077 (7.3%) missing valuesMissing
Interceptions - home has 4056 (7.2%) missing valuesMissing
Key Passes - away has 5248 (9.4%) missing valuesMissing
Key Passes - home has 5244 (9.3%) missing valuesMissing
Long Passes - away has 5077 (9.0%) missing valuesMissing
Long Passes - home has 5067 (9.0%) missing valuesMissing
Offsides - away has 16710 (29.8%) missing valuesMissing
Offsides - home has 16705 (29.8%) missing valuesMissing
Saves - away has 10188 (18.2%) missing valuesMissing
Saves - home has 10178 (18.1%) missing valuesMissing
Successful Dribbles - away has 5076 (9.0%) missing valuesMissing
Successful Dribbles - home has 5059 (9.0%) missing valuesMissing
Successful Headers - away has 9694 (17.3%) missing valuesMissing
Successful Headers - home has 9684 (17.3%) missing valuesMissing
Successful Interceptions - away has 2561 (4.6%) missing valuesMissing
Successful Interceptions - home has 2556 (4.6%) missing valuesMissing
Tackles - away has 1869 (3.3%) missing valuesMissing
Tackles - home has 1858 (3.3%) missing valuesMissing
Throwins - away has 1082 (1.9%) missing valuesMissing
Throwins - home has 1075 (1.9%) missing valuesMissing
Total Crosses - away has 2127 (3.8%) missing valuesMissing
Total Crosses - home has 2116 (3.8%) missing valuesMissing
Yellowred Cards - away has 21284 (37.9%) missing valuesMissing
Yellowred Cards - home has 21277 (37.9%) missing valuesMissing
second has 1027 (1.8%) zerosZeros
Accurate Crosses - away has 14223 (25.3%) zerosZeros
Accurate Crosses - home has 10204 (18.2%) zerosZeros
Assists - away has 11287 (20.1%) zerosZeros
Assists - home has 9931 (17.7%) zerosZeros
Attacks - away has 749 (1.3%) zerosZeros
Attacks - home has 679 (1.2%) zerosZeros
Challenges - away has 3471 (6.2%) zerosZeros
Challenges - home has 3228 (5.8%) zerosZeros
Corners - away has 15863 (28.3%) zerosZeros
Corners - home has 14416 (25.7%) zerosZeros
Counter Attacks - away has 6020 (10.7%) zerosZeros
Counter Attacks - home has 4693 (8.4%) zerosZeros
Dangerous Attacks - away has 2670 (4.8%) zerosZeros
Dangerous Attacks - home has 2194 (3.9%) zerosZeros
Fouls - away has 1616 (2.9%) zerosZeros
Fouls - home has 1977 (3.5%) zerosZeros
Goal Attempts - away has 4086 (7.3%) zerosZeros
Goal Attempts - home has 2404 (4.3%) zerosZeros
Goal Kicks - away has 5103 (9.1%) zerosZeros
Goal Kicks - home has 6132 (10.9%) zerosZeros
Goals - away has 32403 (57.7%) zerosZeros
Goals - home has 30924 (55.1%) zerosZeros
Headers - away has 912 (1.6%) zerosZeros
Headers - home has 887 (1.6%) zerosZeros
Hit Woodwork - away has 49169 (87.6%) zerosZeros
Hit Woodwork - home has 48540 (86.5%) zerosZeros
Injuries - away has 4761 (8.5%) zerosZeros
Injuries - home has 5666 (10.1%) zerosZeros
Interceptions - away has 3531 (6.3%) zerosZeros
Interceptions - home has 3257 (5.8%) zerosZeros
Key Passes - away has 5159 (9.2%) zerosZeros
Key Passes - home has 3370 (6.0%) zerosZeros
Long Passes - away has 1375 (2.4%) zerosZeros
Long Passes - home has 1271 (2.3%) zerosZeros
Offsides - away has 12610 (22.5%) zerosZeros
Offsides - home has 10242 (18.2%) zerosZeros
Penalties - away has 52635 (93.8%) zerosZeros
Penalties - home has 51719 (92.1%) zerosZeros
Redcards - away has 54408 (96.9%) zerosZeros
Redcards - home has 54384 (96.9%) zerosZeros
Saves - away has 7497 (13.4%) zerosZeros
Saves - home has 12004 (21.4%) zerosZeros
Score Change - away has 55491 (98.9%) zerosZeros
Score Change - home has 55401 (98.7%) zerosZeros
Shots Blocked - away has 20558 (36.6%) zerosZeros
Shots Blocked - home has 18543 (33.0%) zerosZeros
Shots Insidebox - away has 11563 (20.6%) zerosZeros
Shots Insidebox - home has 9301 (16.6%) zerosZeros
Shots Off Target - away has 15549 (27.7%) zerosZeros
Shots Off Target - home has 13253 (23.6%) zerosZeros
Shots On Target - away has 17042 (30.4%) zerosZeros
Shots On Target - home has 13796 (24.6%) zerosZeros
Shots Outsidebox - away has 17143 (30.5%) zerosZeros
Shots Outsidebox - home has 15286 (27.2%) zerosZeros
Shots Total - away has 7911 (14.1%) zerosZeros
Shots Total - home has 6497 (11.6%) zerosZeros
Substitutions - away has 34353 (61.2%) zerosZeros
Substitutions - home has 35401 (63.1%) zerosZeros
Successful Dribbles - away has 6182 (11.0%) zerosZeros
Successful Dribbles - home has 5802 (10.3%) zerosZeros
Successful Headers - away has 2276 (4.1%) zerosZeros
Successful Headers - home has 2449 (4.4%) zerosZeros
Successful Interceptions - away has 1851 (3.3%) zerosZeros
Successful Interceptions - home has 1950 (3.5%) zerosZeros
Successful Passes Percentage - home has 623 (1.1%) zerosZeros
Tackles - away has 1998 (3.6%) zerosZeros
Tackles - home has 2015 (3.6%) zerosZeros
Throwins - away has 2459 (4.4%) zerosZeros
Throwins - home has 1980 (3.5%) zerosZeros
Total Crosses - away has 3657 (6.5%) zerosZeros
Total Crosses - home has 2455 (4.4%) zerosZeros
Yellowcards - away has 28645 (51.0%) zerosZeros
Yellowcards - home has 30773 (54.8%) zerosZeros
Yellowred Cards - away has 34482 (61.4%) zerosZeros
Yellowred Cards - home has 34649 (61.7%) zerosZeros

Reproduction

Analysis started2024-12-15 14:12:52.406229
Analysis finished2024-12-15 14:12:54.572574
Duration2.17 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

fixture_id
Real number (ℝ)

Distinct648
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19147822.91
Minimum19134453
Maximum19172117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:54.680156image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum19134453
5-th percentile19134484
Q119135296
median19139734
Q319155124
95-th percentile19172084
Maximum19172117
Range37664
Interquartile range (IQR)19828

Descriptive statistics

Standard deviation13434.62878
Coefficient of variation (CV)0.0007016269601
Kurtosis-0.9700580048
Mean19147822.91
Median Absolute Deviation (MAD)5266
Skewness0.6056266584
Sum1.074709856 × 1012
Variance180489250.4
MonotonicityNot monotonic
2024-12-15T14:12:55.000665image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19139727 105
 
0.2%
19135296 105
 
0.2%
19134489 104
 
0.2%
19139737 103
 
0.2%
19135275 102
 
0.2%
19135255 102
 
0.2%
19135264 102
 
0.2%
19134475 101
 
0.2%
19172052 101
 
0.2%
19134532 101
 
0.2%
Other values (638) 55101
98.2%
ValueCountFrequency (%)
19134453 94
0.2%
19134454 87
0.2%
19134455 82
0.1%
19134456 83
0.1%
19134457 97
0.2%
ValueCountFrequency (%)
19172117 78
0.1%
19172116 90
0.2%
19172115 89
0.2%
19172114 89
0.2%
19172113 92
0.2%

halftime
Text

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:55.134857image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters449016
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1st-half
2nd row1st-half
3rd row1st-half
4th row1st-half
5th row1st-half
ValueCountFrequency (%)
1st-half 29148
51.9%
2nd-half 26979
48.1%
2024-12-15T14:12:55.375901image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56127
12.5%
h 56127
12.5%
a 56127
12.5%
l 56127
12.5%
f 56127
12.5%
1 29148
6.5%
s 29148
6.5%
t 29148
6.5%
2 26979
6.0%
n 26979
6.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 449016
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 56127
12.5%
h 56127
12.5%
a 56127
12.5%
l 56127
12.5%
f 56127
12.5%
1 29148
6.5%
s 29148
6.5%
t 29148
6.5%
2 26979
6.0%
n 26979
6.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 449016
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 56127
12.5%
h 56127
12.5%
a 56127
12.5%
l 56127
12.5%
f 56127
12.5%
1 29148
6.5%
s 29148
6.5%
t 29148
6.5%
2 26979
6.0%
n 26979
6.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 449016
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 56127
12.5%
h 56127
12.5%
a 56127
12.5%
l 56127
12.5%
f 56127
12.5%
1 29148
6.5%
s 29148
6.5%
t 29148
6.5%
2 26979
6.0%
n 26979
6.0%

current_time
Text

Distinct31342
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:55.599570image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1066413
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17386 ?
Unique (%)31.0%

Sample

1st row2024-08-09 18:11:36
2nd row2024-08-09 18:27:30
3rd row2024-08-09 18:28:25
4th row2024-08-09 18:29:32
5th row2024-08-09 18:34:18
ValueCountFrequency (%)
2024-08-31 2491
 
2.2%
2024-10-05 2400
 
2.1%
2024-09-14 2386
 
2.1%
2024-08-24 2335
 
2.1%
2024-11-10 2309
 
2.1%
2024-09-28 2297
 
2.0%
2024-10-06 2172
 
1.9%
2024-09-21 2166
 
1.9%
2024-11-02 2128
 
1.9%
2024-11-09 2068
 
1.8%
Other values (3075) 89502
79.7%
2024-12-15T14:12:55.958431image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 178281
16.7%
2 165814
15.5%
0 145377
13.6%
- 112254
10.5%
: 112254
10.5%
4 105462
9.9%
8 57901
 
5.4%
56127
 
5.3%
9 43456
 
4.1%
5 27163
 
2.5%
Other values (3) 62324
 
5.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 178281
16.7%
2 165814
15.5%
0 145377
13.6%
- 112254
10.5%
: 112254
10.5%
4 105462
9.9%
8 57901
 
5.4%
56127
 
5.3%
9 43456
 
4.1%
5 27163
 
2.5%
Other values (3) 62324
 
5.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 178281
16.7%
2 165814
15.5%
0 145377
13.6%
- 112254
10.5%
: 112254
10.5%
4 105462
9.9%
8 57901
 
5.4%
56127
 
5.3%
9 43456
 
4.1%
5 27163
 
2.5%
Other values (3) 62324
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 178281
16.7%
2 165814
15.5%
0 145377
13.6%
- 112254
10.5%
: 112254
10.5%
4 105462
9.9%
8 57901
 
5.4%
56127
 
5.3%
9 43456
 
4.1%
5 27163
 
2.5%
Other values (3) 62324
 
5.8%

half_start_datetime
Text

Distinct1271
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:56.292145image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1066413
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2024-08-09 18:01:37
2nd row2024-08-09 18:01:37
3rd row2024-08-09 18:01:37
4th row2024-08-09 18:01:37
5th row2024-08-09 18:01:37
ValueCountFrequency (%)
2024-08-31 2491
 
2.2%
2024-10-05 2400
 
2.1%
2024-09-14 2386
 
2.1%
2024-08-24 2335
 
2.1%
2024-11-10 2309
 
2.1%
2024-09-28 2297
 
2.0%
2024-10-06 2172
 
1.9%
2024-09-21 2166
 
1.9%
2024-11-02 2128
 
1.9%
2024-11-09 2068
 
1.8%
Other values (1193) 89502
79.7%
2024-12-15T14:12:56.766853image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 186502
17.5%
2 165925
15.6%
1 139324
13.1%
- 112254
10.5%
: 112254
10.5%
4 93652
8.8%
56127
 
5.3%
3 47647
 
4.5%
9 39273
 
3.7%
5 34968
 
3.3%
Other values (3) 78487
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 186502
17.5%
2 165925
15.6%
1 139324
13.1%
- 112254
10.5%
: 112254
10.5%
4 93652
8.8%
56127
 
5.3%
3 47647
 
4.5%
9 39273
 
3.7%
5 34968
 
3.3%
Other values (3) 78487
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 186502
17.5%
2 165925
15.6%
1 139324
13.1%
- 112254
10.5%
: 112254
10.5%
4 93652
8.8%
56127
 
5.3%
3 47647
 
4.5%
9 39273
 
3.7%
5 34968
 
3.3%
Other values (3) 78487
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 186502
17.5%
2 165925
15.6%
1 139324
13.1%
- 112254
10.5%
: 112254
10.5%
4 93652
8.8%
56127
 
5.3%
3 47647
 
4.5%
9 39273
 
3.7%
5 34968
 
3.3%
Other values (3) 78487
7.4%

match_start_datetime
Text

Distinct638
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:57.096841image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1066413
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-08-09 18:01:37
2nd row2024-08-09 18:01:37
3rd row2024-08-09 18:01:37
4th row2024-08-09 18:01:37
5th row2024-08-09 18:01:37
ValueCountFrequency (%)
2024-08-31 2491
 
2.2%
2024-10-05 2400
 
2.1%
2024-09-14 2386
 
2.1%
2024-08-24 2335
 
2.1%
2024-11-10 2309
 
2.1%
2024-09-28 2297
 
2.0%
2024-10-06 2172
 
1.9%
2024-09-21 2166
 
1.9%
2024-11-02 2128
 
1.9%
2024-11-09 2068
 
1.8%
Other values (582) 89502
79.7%
2024-12-15T14:12:57.567800image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 198857
18.6%
2 159711
15.0%
1 148161
13.9%
- 112254
10.5%
: 112254
10.5%
4 91684
8.6%
56127
 
5.3%
3 46930
 
4.4%
9 38152
 
3.6%
8 32271
 
3.0%
Other values (3) 70012
 
6.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 198857
18.6%
2 159711
15.0%
1 148161
13.9%
- 112254
10.5%
: 112254
10.5%
4 91684
8.6%
56127
 
5.3%
3 46930
 
4.4%
9 38152
 
3.6%
8 32271
 
3.0%
Other values (3) 70012
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 198857
18.6%
2 159711
15.0%
1 148161
13.9%
- 112254
10.5%
: 112254
10.5%
4 91684
8.6%
56127
 
5.3%
3 46930
 
4.4%
9 38152
 
3.6%
8 32271
 
3.0%
Other values (3) 70012
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 198857
18.6%
2 159711
15.0%
1 148161
13.9%
- 112254
10.5%
: 112254
10.5%
4 91684
8.6%
56127
 
5.3%
3 46930
 
4.4%
9 38152
 
3.6%
8 32271
 
3.0%
Other values (3) 70012
 
6.6%

minute
Real number (ℝ)

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.31311134
Minimum0
Maximum80
Zeros226
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:57.749662image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median24
Q336
95-th percentile46
Maximum80
Range80
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.03480015
Coefficient of variation (CV)0.5772523292
Kurtosis-1.106720954
Mean24.31311134
Median Absolute Deviation (MAD)12
Skewness0.07275831073
Sum1364622
Variance196.9756152
MonotonicityNot monotonic
2024-12-15T14:12:57.917422image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1215
 
2.2%
11 1206
 
2.1%
7 1205
 
2.1%
9 1204
 
2.1%
4 1201
 
2.1%
10 1193
 
2.1%
3 1193
 
2.1%
17 1193
 
2.1%
14 1193
 
2.1%
13 1193
 
2.1%
Other values (69) 44131
78.6%
ValueCountFrequency (%)
0 226
 
0.4%
1 1004
1.8%
2 1182
2.1%
3 1193
2.1%
4 1201
2.1%
ValueCountFrequency (%)
80 1
< 0.1%
79 1
< 0.1%
78 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%

second
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.7120459
Minimum0
Maximum59
Zeros1027
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:58.088327image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median27
Q344
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)34

Descriptive statistics

Standard deviation18.30550101
Coefficient of variation (CV)0.6605611539
Kurtosis-1.351797631
Mean27.7120459
Median Absolute Deviation (MAD)17
Skewness0.1496097921
Sum1555394
Variance335.0913674
MonotonicityNot monotonic
2024-12-15T14:12:58.252149image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 2001
 
3.6%
9 1864
 
3.3%
10 1678
 
3.0%
11 1484
 
2.6%
5 1467
 
2.6%
12 1435
 
2.6%
53 1369
 
2.4%
6 1362
 
2.4%
4 1258
 
2.2%
8 1189
 
2.1%
Other values (50) 41020
73.1%
ValueCountFrequency (%)
0 1027
1.8%
1 1103
2.0%
2 875
1.6%
3 787
1.4%
4 1258
2.2%
ValueCountFrequency (%)
59 1050
1.9%
58 817
1.5%
57 773
1.4%
56 1143
2.0%
55 1109
2.0%

latest_bookmaker_update
Text

Distinct49078
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:58.491948image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1066413
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43055 ?
Unique (%)76.7%

Sample

1st row2024-08-09 18:11:28
2nd row2024-08-09 18:27:24
3rd row2024-08-09 18:28:20
4th row2024-08-09 18:29:28
5th row2024-08-09 18:34:12
ValueCountFrequency (%)
2024-08-31 2491
 
2.2%
2024-10-05 2400
 
2.1%
2024-09-14 2386
 
2.1%
2024-08-24 2335
 
2.1%
2024-11-10 2309
 
2.1%
2024-09-28 2297
 
2.0%
2024-10-06 2172
 
1.9%
2024-09-21 2166
 
1.9%
2024-11-02 2128
 
1.9%
2024-11-09 2068
 
1.8%
Other values (15701) 89502
79.7%
2024-12-15T14:12:58.851357image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 167417
15.7%
0 159196
14.9%
1 149785
14.0%
- 112254
10.5%
: 112254
10.5%
4 94079
8.8%
56127
 
5.3%
3 45277
 
4.2%
9 42291
 
4.0%
5 37412
 
3.5%
Other values (3) 90321
8.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 167417
15.7%
0 159196
14.9%
1 149785
14.0%
- 112254
10.5%
: 112254
10.5%
4 94079
8.8%
56127
 
5.3%
3 45277
 
4.2%
9 42291
 
4.0%
5 37412
 
3.5%
Other values (3) 90321
8.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 167417
15.7%
0 159196
14.9%
1 149785
14.0%
- 112254
10.5%
: 112254
10.5%
4 94079
8.8%
56127
 
5.3%
3 45277
 
4.2%
9 42291
 
4.0%
5 37412
 
3.5%
Other values (3) 90321
8.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1066413
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 167417
15.7%
0 159196
14.9%
1 149785
14.0%
- 112254
10.5%
: 112254
10.5%
4 94079
8.8%
56127
 
5.3%
3 45277
 
4.2%
9 42291
 
4.0%
5 37412
 
3.5%
Other values (3) 90321
8.5%

1
Real number (ℝ)

Distinct120
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.38430203
Minimum1
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:59.029695image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.02
Q11.4
median2.5
Q35
95-th percentile51
Maximum501
Range500
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation44.4601169
Coefficient of variation (CV)3.590038163
Kurtosis69.84039313
Mean12.38430203
Median Absolute Deviation (MAD)1.3
Skewness7.811918367
Sum695093.72
Variance1976.701995
MonotonicityNot monotonic
2024-12-15T14:12:59.189589image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1334
 
2.4%
2.75 1148
 
2.0%
4 1130
 
2.0%
2.5 1095
 
2.0%
3.75 989
 
1.8%
2.87 979
 
1.7%
2.2 960
 
1.7%
5 928
 
1.7%
4.33 925
 
1.6%
5.5 915
 
1.6%
Other values (110) 45724
81.5%
ValueCountFrequency (%)
1 1334
2.4%
1.01 770
1.4%
1.02 783
1.4%
1.03 554
1.0%
1.04 534
1.0%
ValueCountFrequency (%)
501 162
0.3%
451 61
 
0.1%
401 81
0.1%
351 92
0.2%
301 126
0.2%

2
Real number (ℝ)

Distinct111
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.37175335
Minimum1
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:59.347599image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.06
Q12
median4
Q311
95-th percentile81
Maximum501
Range500
Interquartile range (IQR)9

Descriptive statistics

Standard deviation60.1366539
Coefficient of variation (CV)2.951962596
Kurtosis37.2343808
Mean20.37175335
Median Absolute Deviation (MAD)2.56
Skewness5.807883356
Sum1143405.4
Variance3616.417142
MonotonicityNot monotonic
2024-12-15T14:12:59.512404image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1409
 
2.5%
5.5 1403
 
2.5%
41 1374
 
2.4%
4 1313
 
2.3%
51 1279
 
2.3%
5 1267
 
2.3%
3.75 1187
 
2.1%
4.33 1088
 
1.9%
15 1080
 
1.9%
6.5 1024
 
1.8%
Other values (101) 43703
77.9%
ValueCountFrequency (%)
1 748
1.3%
1.01 529
0.9%
1.02 416
0.7%
1.03 389
0.7%
1.04 308
0.5%
ValueCountFrequency (%)
501 342
0.6%
451 107
 
0.2%
401 155
0.3%
351 178
0.3%
301 238
0.4%

X
Real number (ℝ)

Distinct96
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.543399612
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:12:59.669060image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.57
Q12.87
median3.6
Q36
95-th percentile23
Maximum51
Range50
Interquartile range (IQR)3.13

Descriptive statistics

Standard deviation8.274892272
Coefficient of variation (CV)1.264616677
Kurtosis13.0709667
Mean6.543399612
Median Absolute Deviation (MAD)1.15
Skewness3.451330376
Sum367261.39
Variance68.47384211
MonotonicityNot monotonic
2024-12-15T14:12:59.831039image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2812
 
5.0%
3.75 2465
 
4.4%
3.4 2453
 
4.4%
3.25 2186
 
3.9%
3 1954
 
3.5%
3.6 1947
 
3.5%
3.1 1946
 
3.5%
2.87 1823
 
3.2%
4.33 1816
 
3.2%
3.5 1806
 
3.2%
Other values (86) 34919
62.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
1.01 13
 
< 0.1%
1.02 53
0.1%
1.03 69
0.1%
1.04 77
0.1%
ValueCountFrequency (%)
51 724
1.3%
41 785
1.4%
34 44
 
0.1%
29 307
 
0.5%
26 653
1.2%

name
Text

Distinct648
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:00.102511image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length25.10880681
Min length12

Characters and Unicode

Total characters1409282
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGalatasaray vs Hatayspor
2nd rowGalatasaray vs Hatayspor
3rd rowGalatasaray vs Hatayspor
4th rowGalatasaray vs Hatayspor
5th rowGalatasaray vs Hatayspor
ValueCountFrequency (%)
vs 56127
 
24.8%
real 4343
 
1.9%
fc 3466
 
1.5%
united 2920
 
1.3%
madrid 2181
 
1.0%
city 2039
 
0.9%
manchester 2002
 
0.9%
olympique 1856
 
0.8%
borussia 1757
 
0.8%
vfl 1697
 
0.7%
Other values (153) 148100
65.4%
2024-12-15T14:13:00.573220image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170361
 
12.1%
s 115079
 
8.2%
a 113553
 
8.1%
e 107699
 
7.6%
o 74926
 
5.3%
r 74396
 
5.3%
n 74004
 
5.3%
i 68756
 
4.9%
v 67324
 
4.8%
l 63994
 
4.5%
Other values (54) 479190
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1409282
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
170361
 
12.1%
s 115079
 
8.2%
a 113553
 
8.1%
e 107699
 
7.6%
o 74926
 
5.3%
r 74396
 
5.3%
n 74004
 
5.3%
i 68756
 
4.9%
v 67324
 
4.8%
l 63994
 
4.5%
Other values (54) 479190
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1409282
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
170361
 
12.1%
s 115079
 
8.2%
a 113553
 
8.1%
e 107699
 
7.6%
o 74926
 
5.3%
r 74396
 
5.3%
n 74004
 
5.3%
i 68756
 
4.9%
v 67324
 
4.8%
l 63994
 
4.5%
Other values (54) 479190
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1409282
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
170361
 
12.1%
s 115079
 
8.2%
a 113553
 
8.1%
e 107699
 
7.6%
o 74926
 
5.3%
r 74396
 
5.3%
n 74004
 
5.3%
i 68756
 
4.9%
v 67324
 
4.8%
l 63994
 
4.5%
Other values (54) 479190
34.0%

ticking
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size493.3 KiB
True
56127 
ValueCountFrequency (%)
True 56127
100.0%
2024-12-15T14:13:00.713168image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Accurate Crosses - away
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing2900
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean1.927874951
Minimum0
Maximum12
Zeros14223
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:00.809454image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.914383749
Coefficient of variation (CV)0.9930020351
Kurtosis1.989715846
Mean1.927874951
Median Absolute Deviation (MAD)1
Skewness1.302249112
Sum102615
Variance3.66486514
MonotonicityNot monotonic
2024-12-15T14:13:00.945860image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14223
25.3%
1 12802
22.8%
2 9864
17.6%
3 6664
11.9%
4 4263
 
7.6%
5 2413
 
4.3%
6 1545
 
2.8%
7 643
 
1.1%
8 388
 
0.7%
9 203
 
0.4%
Other values (3) 219
 
0.4%
(Missing) 2900
 
5.2%
ValueCountFrequency (%)
0 14223
25.3%
1 12802
22.8%
2 9864
17.6%
3 6664
11.9%
4 4263
 
7.6%
ValueCountFrequency (%)
12 31
 
0.1%
11 22
 
< 0.1%
10 166
0.3%
9 203
0.4%
8 388
0.7%

Accurate Crosses - home
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing2879
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean2.506347656
Minimum0
Maximum13
Zeros10204
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:01.076263image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.228769452
Coefficient of variation (CV)0.8892499198
Kurtosis1.495143397
Mean2.506347656
Median Absolute Deviation (MAD)1
Skewness1.145624182
Sum133458
Variance4.967413272
MonotonicityNot monotonic
2024-12-15T14:13:01.206295image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 11025
19.6%
0 10204
18.2%
2 9803
17.5%
3 7442
13.3%
4 5535
9.9%
5 3829
 
6.8%
6 2332
 
4.2%
7 1387
 
2.5%
8 758
 
1.4%
9 354
 
0.6%
Other values (4) 579
 
1.0%
(Missing) 2879
 
5.1%
ValueCountFrequency (%)
0 10204
18.2%
1 11025
19.6%
2 9803
17.5%
3 7442
13.3%
4 5535
9.9%
ValueCountFrequency (%)
13 59
 
0.1%
12 81
 
0.1%
11 136
 
0.2%
10 303
0.5%
9 354
0.6%

Assists - away
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing26239
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean0.7698072805
Minimum0
Maximum4
Zeros11287
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:01.325298image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7127805748
Coefficient of variation (CV)0.9259208023
Kurtosis0.2956566129
Mean0.7698072805
Median Absolute Deviation (MAD)1
Skewness0.6712500257
Sum23008
Variance0.5080561478
MonotonicityNot monotonic
2024-12-15T14:13:01.651337image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 14719
26.2%
0 11287
20.1%
2 3369
 
6.0%
3 501
 
0.9%
4 12
 
< 0.1%
(Missing) 26239
46.7%
ValueCountFrequency (%)
0 11287
20.1%
1 14719
26.2%
2 3369
 
6.0%
3 501
 
0.9%
4 12
 
< 0.1%
ValueCountFrequency (%)
4 12
 
< 0.1%
3 501
 
0.9%
2 3369
 
6.0%
1 14719
26.2%
0 11287
20.1%

Assists - home
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing26237
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean0.8397122784
Minimum0
Maximum3
Zeros9931
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:01.774138image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7255686842
Coefficient of variation (CV)0.8640682088
Kurtosis0.2914437945
Mean0.8397122784
Median Absolute Deviation (MAD)0
Skewness0.6302064713
Sum25099
Variance0.5264499155
MonotonicityNot monotonic
2024-12-15T14:13:01.890932image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 15535
27.7%
0 9931
 
17.7%
2 3708
 
6.6%
3 716
 
1.3%
(Missing) 26237
46.7%
ValueCountFrequency (%)
0 9931
17.7%
1 15535
27.7%
2 3708
 
6.6%
3 716
 
1.3%
ValueCountFrequency (%)
3 716
 
1.3%
2 3708
 
6.6%
1 15535
27.7%
0 9931
17.7%

Attacks - away
Real number (ℝ)

ZEROS 

Distinct168
Distinct (%)0.3%
Missing38
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean43.48478311
Minimum0
Maximum170
Zeros749
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:02.035377image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q120
median41
Q363
95-th percentile93
Maximum170
Range170
Interquartile range (IQR)43

Descriptive statistics

Standard deviation28.45641583
Coefficient of variation (CV)0.6543993967
Kurtosis-0.2533105127
Mean43.48478311
Median Absolute Deviation (MAD)22
Skewness0.5125236954
Sum2439018
Variance809.767602
MonotonicityNot monotonic
2024-12-15T14:13:02.197703image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 758
 
1.4%
0 749
 
1.3%
5 741
 
1.3%
12 739
 
1.3%
8 738
 
1.3%
16 738
 
1.3%
6 730
 
1.3%
7 725
 
1.3%
57 721
 
1.3%
26 721
 
1.3%
Other values (158) 48729
86.8%
ValueCountFrequency (%)
0 749
1.3%
1 624
1.1%
2 620
1.1%
3 625
1.1%
4 644
1.1%
ValueCountFrequency (%)
170 1
 
< 0.1%
168 1
 
< 0.1%
166 1
 
< 0.1%
165 10
< 0.1%
164 1
 
< 0.1%

Attacks - home
Real number (ℝ)

ZEROS 

Distinct172
Distinct (%)0.3%
Missing32
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean48.25713522
Minimum0
Maximum174
Zeros679
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:02.358909image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q122
median45
Q370
95-th percentile104
Maximum174
Range174
Interquartile range (IQR)48

Descriptive statistics

Standard deviation31.48226275
Coefficient of variation (CV)0.6523856546
Kurtosis-0.3583184919
Mean48.25713522
Median Absolute Deviation (MAD)24
Skewness0.4903729181
Sum2706984
Variance991.1328677
MonotonicityNot monotonic
2024-12-15T14:13:02.523232image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 694
 
1.2%
4 689
 
1.2%
0 679
 
1.2%
46 670
 
1.2%
9 667
 
1.2%
7 666
 
1.2%
12 663
 
1.2%
19 662
 
1.2%
6 644
 
1.1%
36 634
 
1.1%
Other values (162) 49427
88.1%
ValueCountFrequency (%)
0 679
1.2%
1 491
0.9%
2 580
1.0%
3 615
1.1%
4 689
1.2%
ValueCountFrequency (%)
174 1
 
< 0.1%
173 1
 
< 0.1%
171 3
< 0.1%
169 5
< 0.1%
168 1
 
< 0.1%

Ball Possession % - away
Real number (ℝ)

Distinct98
Distinct (%)0.2%
Missing23
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.11478682
Minimum0
Maximum100
Zeros301
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:02.691640image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q139
median49
Q359
95-th percentile72
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.53315046
Coefficient of variation (CV)0.2959017314
Kurtosis0.801321856
Mean49.11478682
Median Absolute Deviation (MAD)10
Skewness0.1148365837
Sum2755536
Variance211.2124623
MonotonicityNot monotonic
2024-12-15T14:13:02.855983image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 1945
 
3.5%
52 1660
 
3.0%
48 1651
 
2.9%
46 1650
 
2.9%
49 1581
 
2.8%
53 1577
 
2.8%
51 1540
 
2.7%
54 1495
 
2.7%
47 1475
 
2.6%
44 1438
 
2.6%
Other values (88) 40092
71.4%
ValueCountFrequency (%)
0 301
0.5%
2 3
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
6 10
 
< 0.1%
ValueCountFrequency (%)
100 365
0.7%
98 3
 
< 0.1%
97 1
 
< 0.1%
96 7
 
< 0.1%
95 2
 
< 0.1%

Ball Possession % - home
Real number (ℝ)

Distinct98
Distinct (%)0.2%
Missing22
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.88321896
Minimum0
Maximum100
Zeros368
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:03.018282image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q141
median51
Q361
95-th percentile73
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.5411317
Coefficient of variation (CV)0.285774603
Kurtosis0.8034128738
Mean50.88321896
Median Absolute Deviation (MAD)10
Skewness-0.1164367853
Sum2854803
Variance211.4445111
MonotonicityNot monotonic
2024-12-15T14:13:03.183719image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 1932
 
3.4%
48 1664
 
3.0%
52 1654
 
2.9%
54 1644
 
2.9%
51 1589
 
2.8%
47 1573
 
2.8%
49 1539
 
2.7%
46 1497
 
2.7%
53 1476
 
2.6%
56 1440
 
2.6%
Other values (88) 40097
71.4%
ValueCountFrequency (%)
0 368
0.7%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 7
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
100 301
0.5%
98 3
 
< 0.1%
97 2
 
< 0.1%
96 2
 
< 0.1%
94 10
 
< 0.1%

Ball Safe - away
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)0.3%
Missing21456
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean31.08831588
Minimum0
Maximum123
Zeros154
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:03.351383image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median30
Q345
95-th percentile65
Maximum123
Range123
Interquartile range (IQR)31

Descriptive statistics

Standard deviation19.88942288
Coefficient of variation (CV)0.6397716415
Kurtosis-0.2579998789
Mean31.08831588
Median Absolute Deviation (MAD)15
Skewness0.4326395576
Sum1077863
Variance395.5891427
MonotonicityNot monotonic
2024-12-15T14:13:03.518660image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 970
 
1.7%
3 963
 
1.7%
39 897
 
1.6%
7 883
 
1.6%
41 809
 
1.4%
4 795
 
1.4%
27 788
 
1.4%
1 759
 
1.4%
26 742
 
1.3%
30 728
 
1.3%
Other values (91) 26337
46.9%
(Missing) 21456
38.2%
ValueCountFrequency (%)
0 154
 
0.3%
1 759
1.4%
2 465
0.8%
3 963
1.7%
4 795
1.4%
ValueCountFrequency (%)
123 9
< 0.1%
117 10
< 0.1%
116 2
 
< 0.1%
106 3
 
< 0.1%
103 14
< 0.1%

Ball Safe - home
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)0.3%
Missing21452
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean29.86183129
Minimum0
Maximum120
Zeros130
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:03.677900image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median29
Q343
95-th percentile65
Maximum120
Range120
Interquartile range (IQR)30

Descriptive statistics

Standard deviation19.5288162
Coefficient of variation (CV)0.6539724911
Kurtosis-0.08364752222
Mean29.86183129
Median Absolute Deviation (MAD)15
Skewness0.5229942491
Sum1035459
Variance381.3746621
MonotonicityNot monotonic
2024-12-15T14:13:03.854868image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 1055
 
1.9%
6 1001
 
1.8%
4 904
 
1.6%
1 878
 
1.6%
41 827
 
1.5%
5 795
 
1.4%
31 725
 
1.3%
17 721
 
1.3%
36 715
 
1.3%
23 698
 
1.2%
Other values (90) 26356
47.0%
(Missing) 21452
38.2%
ValueCountFrequency (%)
0 130
 
0.2%
1 878
1.6%
2 647
1.2%
3 433
0.8%
4 904
1.6%
ValueCountFrequency (%)
120 7
 
< 0.1%
111 3
 
< 0.1%
106 19
< 0.1%
103 1
 
< 0.1%
100 27
< 0.1%

Challenges - away
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing4492
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean4.360917982
Minimum0
Maximum21
Zeros3471
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:04.000950image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.133026725
Coefficient of variation (CV)0.7184328479
Kurtosis0.5859752955
Mean4.360917982
Median Absolute Deviation (MAD)2
Skewness0.8529877731
Sum225176
Variance9.815856461
MonotonicityNot monotonic
2024-12-15T14:13:04.131684image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 7112
12.7%
1 6645
11.8%
3 6485
11.6%
4 5849
10.4%
5 5680
10.1%
6 4608
8.2%
7 3650
6.5%
0 3471
6.2%
8 2602
 
4.6%
9 1763
 
3.1%
Other values (12) 3770
6.7%
(Missing) 4492
8.0%
ValueCountFrequency (%)
0 3471
6.2%
1 6645
11.8%
2 7112
12.7%
3 6485
11.6%
4 5849
10.4%
ValueCountFrequency (%)
21 4
 
< 0.1%
20 4
 
< 0.1%
19 11
 
< 0.1%
18 8
 
< 0.1%
17 40
0.1%

Challenges - home
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing4485
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean4.317900159
Minimum0
Maximum22
Zeros3228
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:04.265034image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.217700367
Coefficient of variation (CV)0.7452002707
Kurtosis1.158806139
Mean4.317900159
Median Absolute Deviation (MAD)2
Skewness1.019465608
Sum222985
Variance10.35359565
MonotonicityNot monotonic
2024-12-15T14:13:04.397049image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 7496
13.4%
2 7083
12.6%
3 6837
12.2%
4 5877
10.5%
5 5645
10.1%
6 3908
7.0%
7 3229
5.8%
0 3228
5.8%
8 2539
 
4.5%
9 1834
 
3.3%
Other values (13) 3966
7.1%
(Missing) 4485
8.0%
ValueCountFrequency (%)
0 3228
5.8%
1 7496
13.4%
2 7083
12.6%
3 6837
12.2%
4 5877
10.5%
ValueCountFrequency (%)
22 3
 
< 0.1%
21 22
< 0.1%
20 22
< 0.1%
19 8
 
< 0.1%
18 28
< 0.1%

Corners - away
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing73
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.033128769
Minimum0
Maximum17
Zeros15863
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:04.523089image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile6
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.08828514
Coefficient of variation (CV)1.027128814
Kurtosis2.421295751
Mean2.033128769
Median Absolute Deviation (MAD)1
Skewness1.387625347
Sum113965
Variance4.360934827
MonotonicityNot monotonic
2024-12-15T14:13:04.654727image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 15863
28.3%
1 11604
20.7%
2 10628
18.9%
3 6429
11.5%
4 4588
 
8.2%
5 3013
 
5.4%
6 1807
 
3.2%
7 903
 
1.6%
8 521
 
0.9%
9 307
 
0.5%
Other values (7) 391
 
0.7%
ValueCountFrequency (%)
0 15863
28.3%
1 11604
20.7%
2 10628
18.9%
3 6429
11.5%
4 4588
 
8.2%
ValueCountFrequency (%)
17 1
 
< 0.1%
15 2
 
< 0.1%
14 4
 
< 0.1%
13 37
0.1%
12 70
0.1%

Corners - home
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing65
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.491741286
Minimum0
Maximum17
Zeros14416
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:04.789142image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile7
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.452406995
Coefficient of variation (CV)0.9842141351
Kurtosis1.632390042
Mean2.491741286
Median Absolute Deviation (MAD)2
Skewness1.209922747
Sum139692
Variance6.01430007
MonotonicityNot monotonic
2024-12-15T14:13:04.923048image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 14416
25.7%
1 9938
17.7%
2 8251
14.7%
3 7750
13.8%
4 5029
 
9.0%
5 3692
 
6.6%
6 3023
 
5.4%
7 1473
 
2.6%
8 1220
 
2.2%
9 478
 
0.9%
Other values (8) 792
 
1.4%
ValueCountFrequency (%)
0 14416
25.7%
1 9938
17.7%
2 8251
14.7%
3 7750
13.8%
4 5029
 
9.0%
ValueCountFrequency (%)
17 5
 
< 0.1%
16 15
 
< 0.1%
15 13
 
< 0.1%
14 21
 
< 0.1%
13 71
0.1%

Counter Attacks - away
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.1%
Missing36836
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean1.325177544
Minimum0
Maximum10
Zeros6020
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:05.058936image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.465857521
Coefficient of variation (CV)1.106159343
Kurtosis3.814775943
Mean1.325177544
Median Absolute Deviation (MAD)1
Skewness1.770973967
Sum25564
Variance2.148738272
MonotonicityNot monotonic
2024-12-15T14:13:05.185277image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 7228
 
12.9%
0 6020
 
10.7%
2 3134
 
5.6%
3 1320
 
2.4%
4 668
 
1.2%
5 389
 
0.7%
6 316
 
0.6%
7 158
 
0.3%
8 40
 
0.1%
9 11
 
< 0.1%
(Missing) 36836
65.6%
ValueCountFrequency (%)
0 6020
10.7%
1 7228
12.9%
2 3134
5.6%
3 1320
 
2.4%
4 668
 
1.2%
ValueCountFrequency (%)
10 7
 
< 0.1%
9 11
 
< 0.1%
8 40
 
0.1%
7 158
0.3%
6 316
0.6%

Counter Attacks - home
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.1%
Missing36834
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean1.532006427
Minimum0
Maximum13
Zeros4693
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:05.311536image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.600550102
Coefficient of variation (CV)1.044741114
Kurtosis5.810904969
Mean1.532006427
Median Absolute Deviation (MAD)1
Skewness2.004078698
Sum29557
Variance2.561760628
MonotonicityNot monotonic
2024-12-15T14:13:05.444824image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 7467
 
13.3%
0 4693
 
8.4%
2 3820
 
6.8%
3 1298
 
2.3%
4 856
 
1.5%
5 513
 
0.9%
6 325
 
0.6%
7 156
 
0.3%
8 73
 
0.1%
11 36
 
0.1%
Other values (4) 56
 
0.1%
(Missing) 36834
65.6%
ValueCountFrequency (%)
0 4693
8.4%
1 7467
13.3%
2 3820
6.8%
3 1298
 
2.3%
4 856
 
1.5%
ValueCountFrequency (%)
13 5
 
< 0.1%
12 1
 
< 0.1%
11 36
0.1%
10 18
< 0.1%
9 32
0.1%

Dangerous Attacks - away
Real number (ℝ)

ZEROS 

Distinct127
Distinct (%)0.2%
Missing51
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.76606748
Minimum0
Maximum163
Zeros2670
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:05.601922image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median16
Q327
95-th percentile46
Maximum163
Range163
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.92656017
Coefficient of variation (CV)0.7954016035
Kurtosis3.828918147
Mean18.76606748
Median Absolute Deviation (MAD)10
Skewness1.292204102
Sum1052326
Variance222.8021984
MonotonicityNot monotonic
2024-12-15T14:13:05.767524image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2670
 
4.8%
1 1847
 
3.3%
2 1789
 
3.2%
3 1756
 
3.1%
5 1743
 
3.1%
4 1713
 
3.1%
10 1701
 
3.0%
7 1699
 
3.0%
6 1680
 
3.0%
8 1661
 
3.0%
Other values (117) 37817
67.4%
ValueCountFrequency (%)
0 2670
4.8%
1 1847
3.3%
2 1789
3.2%
3 1756
3.1%
4 1713
3.1%
ValueCountFrequency (%)
163 2
< 0.1%
162 1
< 0.1%
160 1
< 0.1%
156 1
< 0.1%
155 2
< 0.1%

Dangerous Attacks - home
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)0.2%
Missing45
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean22.4160515
Minimum0
Maximum140
Zeros2194
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:06.121269image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median19
Q333
95-th percentile54
Maximum140
Range140
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.24442678
Coefficient of variation (CV)0.7692892204
Kurtosis1.841905977
Mean22.4160515
Median Absolute Deviation (MAD)12
Skewness1.089114615
Sum1257137
Variance297.370255
MonotonicityNot monotonic
2024-12-15T14:13:06.278517image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2194
 
3.9%
5 1543
 
2.7%
3 1491
 
2.7%
6 1482
 
2.6%
2 1480
 
2.6%
1 1431
 
2.5%
9 1419
 
2.5%
8 1390
 
2.5%
12 1369
 
2.4%
11 1346
 
2.4%
Other values (120) 40937
72.9%
ValueCountFrequency (%)
0 2194
3.9%
1 1431
2.5%
2 1480
2.6%
3 1491
2.7%
4 1339
2.4%
ValueCountFrequency (%)
140 2
< 0.1%
137 1
 
< 0.1%
136 1
 
< 0.1%
134 4
< 0.1%
133 1
 
< 0.1%

Dribble Attempts - away
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.1%
Missing7466
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean7.847249337
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:06.428092image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q311
95-th percentile17
Maximum31
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.059375373
Coefficient of variation (CV)0.6447323331
Kurtosis0.4188191466
Mean7.847249337
Median Absolute Deviation (MAD)4
Skewness0.8128725518
Sum381855
Variance25.59727917
MonotonicityNot monotonic
2024-12-15T14:13:06.564404image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 4050
 
7.2%
4 3888
 
6.9%
5 3743
 
6.7%
6 3570
 
6.4%
8 3570
 
6.4%
2 3545
 
6.3%
7 3529
 
6.3%
1 3462
 
6.2%
9 3156
 
5.6%
10 2829
 
5.0%
Other values (21) 13319
23.7%
(Missing) 7466
13.3%
ValueCountFrequency (%)
1 3462
6.2%
2 3545
6.3%
3 4050
7.2%
4 3888
6.9%
5 3743
6.7%
ValueCountFrequency (%)
31 11
 
< 0.1%
30 3
 
< 0.1%
29 8
 
< 0.1%
28 27
< 0.1%
27 40
0.1%

Dribble Attempts - home
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)0.1%
Missing7441
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean7.873762478
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:06.702706image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q311
95-th percentile18
Maximum32
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.142740464
Coefficient of variation (CV)0.6531490477
Kurtosis0.4657307432
Mean7.873762478
Median Absolute Deviation (MAD)4
Skewness0.8430592367
Sum383342
Variance26.44777948
MonotonicityNot monotonic
2024-12-15T14:13:06.838780image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4 3962
 
7.1%
3 3882
 
6.9%
2 3811
 
6.8%
5 3788
 
6.7%
6 3588
 
6.4%
7 3575
 
6.4%
1 3417
 
6.1%
8 3269
 
5.8%
9 3141
 
5.6%
10 2877
 
5.1%
Other values (22) 13376
23.8%
(Missing) 7441
13.3%
ValueCountFrequency (%)
1 3417
6.1%
2 3811
6.8%
3 3882
6.9%
4 3962
7.1%
5 3788
6.7%
ValueCountFrequency (%)
32 4
 
< 0.1%
31 3
 
< 0.1%
30 17
< 0.1%
29 13
< 0.1%
28 20
< 0.1%

Fouls - away
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing1566
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean5.931782775
Minimum0
Maximum24
Zeros1616
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:06.975142image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q39
95-th percentile14
Maximum24
Range24
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.192045112
Coefficient of variation (CV)0.7067091414
Kurtosis0.140603562
Mean5.931782775
Median Absolute Deviation (MAD)3
Skewness0.7597895065
Sum323644
Variance17.57324222
MonotonicityNot monotonic
2024-12-15T14:13:07.113186image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 6762
12.0%
2 5662
10.1%
3 5112
9.1%
4 4685
8.3%
5 4538
8.1%
6 4448
7.9%
7 4019
7.2%
8 3403
 
6.1%
9 3279
 
5.8%
10 2771
 
4.9%
Other values (15) 9882
17.6%
ValueCountFrequency (%)
0 1616
 
2.9%
1 6762
12.0%
2 5662
10.1%
3 5112
9.1%
4 4685
8.3%
ValueCountFrequency (%)
24 4
 
< 0.1%
23 20
 
< 0.1%
22 20
 
< 0.1%
21 51
0.1%
20 120
0.2%

Fouls - home
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing1555
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean5.725445283
Minimum0
Maximum24
Zeros1977
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:07.249511image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q38
95-th percentile13
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.930652057
Coefficient of variation (CV)0.6865233816
Kurtosis-0.2235343914
Mean5.725445283
Median Absolute Deviation (MAD)3
Skewness0.618586259
Sum312449
Variance15.45002559
MonotonicityNot monotonic
2024-12-15T14:13:07.387901image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 6639
11.8%
2 5496
9.8%
4 5096
9.1%
3 5005
8.9%
5 4763
8.5%
6 4241
7.6%
7 4214
7.5%
9 3657
 
6.5%
8 3566
 
6.4%
10 2728
 
4.9%
Other values (15) 9167
16.3%
ValueCountFrequency (%)
0 1977
 
3.5%
1 6639
11.8%
2 5496
9.8%
3 5005
8.9%
4 5096
9.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
23 5
 
< 0.1%
22 6
 
< 0.1%
21 8
< 0.1%
20 19
< 0.1%

Free Kicks - away
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.5%
Missing51075
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean6.496634996
Minimum0
Maximum23
Zeros496
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:07.519039image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q310
95-th percentile15
Maximum23
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.764809937
Coefficient of variation (CV)0.7334273728
Kurtosis-0.4352498674
Mean6.496634996
Median Absolute Deviation (MAD)4
Skewness0.5144298258
Sum32821
Variance22.70341374
MonotonicityNot monotonic
2024-12-15T14:13:07.647237image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 496
 
0.9%
4 459
 
0.8%
1 435
 
0.8%
3 357
 
0.6%
6 348
 
0.6%
11 335
 
0.6%
2 330
 
0.6%
8 319
 
0.6%
7 308
 
0.5%
10 297
 
0.5%
Other values (14) 1368
 
2.4%
(Missing) 51075
91.0%
ValueCountFrequency (%)
0 496
0.9%
1 435
0.8%
2 330
0.6%
3 357
0.6%
4 459
0.8%
ValueCountFrequency (%)
23 2
 
< 0.1%
22 3
 
< 0.1%
21 7
 
< 0.1%
20 12
< 0.1%
19 21
< 0.1%

Free Kicks - home
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.4%
Missing51075
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean5.78939034
Minimum0
Maximum19
Zeros512
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:07.766992image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile13
Maximum19
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.176892229
Coefficient of variation (CV)0.7214735893
Kurtosis-0.6654379901
Mean5.78939034
Median Absolute Deviation (MAD)3
Skewness0.4710764736
Sum29248
Variance17.44642869
MonotonicityNot monotonic
2024-12-15T14:13:07.896721image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 512
 
0.9%
2 459
 
0.8%
3 448
 
0.8%
4 431
 
0.8%
6 424
 
0.8%
5 401
 
0.7%
1 370
 
0.7%
9 359
 
0.6%
7 342
 
0.6%
8 302
 
0.5%
Other values (10) 1004
 
1.8%
(Missing) 51075
91.0%
ValueCountFrequency (%)
0 512
0.9%
1 370
0.7%
2 459
0.8%
3 448
0.8%
4 431
0.8%
ValueCountFrequency (%)
19 1
 
< 0.1%
18 1
 
< 0.1%
17 14
 
< 0.1%
16 25
 
< 0.1%
15 90
0.2%

Goal Attempts - away
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing25309
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean3.085988708
Minimum0
Maximum17
Zeros4086
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:08.023463image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile8
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.436060566
Coefficient of variation (CV)0.789393869
Kurtosis1.115318495
Mean3.085988708
Median Absolute Deviation (MAD)2
Skewness0.9553544149
Sum95104
Variance5.93439108
MonotonicityNot monotonic
2024-12-15T14:13:08.147837image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 5349
 
9.5%
2 5149
 
9.2%
3 4535
 
8.1%
4 4239
 
7.6%
0 4086
 
7.3%
5 2305
 
4.1%
6 2090
 
3.7%
7 1480
 
2.6%
8 786
 
1.4%
9 419
 
0.7%
Other values (6) 380
 
0.7%
(Missing) 25309
45.1%
ValueCountFrequency (%)
0 4086
7.3%
1 5349
9.5%
2 5149
9.2%
3 4535
8.1%
4 4239
7.6%
ValueCountFrequency (%)
17 6
 
< 0.1%
15 28
 
< 0.1%
13 69
0.1%
12 40
 
0.1%
11 143
0.3%

Goal Attempts - home
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)0.1%
Missing25302
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean3.795296026
Minimum0
Maximum24
Zeros2404
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:08.278281image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.861408098
Coefficient of variation (CV)0.7539354186
Kurtosis1.651992111
Mean3.795296026
Median Absolute Deviation (MAD)2
Skewness1.066013872
Sum116990
Variance8.187656304
MonotonicityNot monotonic
2024-12-15T14:13:08.409823image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 5302
 
9.4%
2 4299
 
7.7%
3 4054
 
7.2%
4 3768
 
6.7%
5 3593
 
6.4%
6 2558
 
4.6%
0 2404
 
4.3%
7 1628
 
2.9%
8 1262
 
2.2%
9 649
 
1.2%
Other values (11) 1308
 
2.3%
(Missing) 25302
45.1%
ValueCountFrequency (%)
0 2404
4.3%
1 5302
9.4%
2 4299
7.7%
3 4054
7.2%
4 3768
6.7%
ValueCountFrequency (%)
24 1
 
< 0.1%
20 19
< 0.1%
19 6
 
< 0.1%
18 2
 
< 0.1%
16 37
0.1%

Goal Kicks - away
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing4376
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean3.847249329
Minimum0
Maximum23
Zeros5103
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:08.538920image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile10
Maximum23
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.130617096
Coefficient of variation (CV)0.8137286743
Kurtosis1.387130488
Mean3.847249329
Median Absolute Deviation (MAD)2
Skewness1.10437083
Sum199099
Variance9.8007634
MonotonicityNot monotonic
2024-12-15T14:13:08.666109image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 8932
15.9%
2 7566
13.5%
3 6392
11.4%
4 5235
9.3%
0 5103
9.1%
5 4987
8.9%
6 3838
6.8%
7 3232
 
5.8%
8 2041
 
3.6%
9 1490
 
2.7%
Other values (14) 2935
 
5.2%
(Missing) 4376
7.8%
ValueCountFrequency (%)
0 5103
9.1%
1 8932
15.9%
2 7566
13.5%
3 6392
11.4%
4 5235
9.3%
ValueCountFrequency (%)
23 2
 
< 0.1%
22 9
< 0.1%
21 2
 
< 0.1%
20 7
< 0.1%
19 2
 
< 0.1%

Goal Kicks - home
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing4369
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean3.224216546
Minimum0
Maximum17
Zeros6132
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:08.784442image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile8
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.598236902
Coefficient of variation (CV)0.8058506197
Kurtosis0.9166507911
Mean3.224216546
Median Absolute Deviation (MAD)2
Skewness0.9892103574
Sum166879
Variance6.750834998
MonotonicityNot monotonic
2024-12-15T14:13:08.913113image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 10004
17.8%
2 8455
15.1%
3 7042
12.5%
0 6132
10.9%
4 6038
10.8%
5 4296
7.7%
6 3628
 
6.5%
7 2447
 
4.4%
8 1596
 
2.8%
9 857
 
1.5%
Other values (8) 1263
 
2.3%
(Missing) 4369
7.8%
ValueCountFrequency (%)
0 6132
10.9%
1 10004
17.8%
2 8455
15.1%
3 7042
12.5%
4 6038
10.8%
ValueCountFrequency (%)
17 16
 
< 0.1%
16 11
 
< 0.1%
15 26
 
< 0.1%
14 32
 
0.1%
13 88
0.2%

Goals - away
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing38
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.5804703239
Minimum0
Maximum5
Zeros32403
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:09.036205image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7863413689
Coefficient of variation (CV)1.35466248
Kurtosis1.25390738
Mean0.5804703239
Median Absolute Deviation (MAD)0
Skewness1.287625381
Sum32558
Variance0.6183327484
MonotonicityNot monotonic
2024-12-15T14:13:09.152380image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 32403
57.7%
1 16296
29.0%
2 6052
 
10.8%
3 1207
 
2.2%
4 118
 
0.2%
5 13
 
< 0.1%
(Missing) 38
 
0.1%
ValueCountFrequency (%)
0 32403
57.7%
1 16296
29.0%
2 6052
 
10.8%
3 1207
 
2.2%
4 118
 
0.2%
ValueCountFrequency (%)
5 13
 
< 0.1%
4 118
 
0.2%
3 1207
 
2.2%
2 6052
 
10.8%
1 16296
29.0%

Goals - home
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing36
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.6419924765
Minimum0
Maximum5
Zeros30924
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:09.265797image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8424028461
Coefficient of variation (CV)1.312169343
Kurtosis1.222961014
Mean0.6419924765
Median Absolute Deviation (MAD)0
Skewness1.275377563
Sum36010
Variance0.7096425552
MonotonicityNot monotonic
2024-12-15T14:13:09.381803image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 30924
55.1%
1 16637
29.6%
2 6510
 
11.6%
3 1734
 
3.1%
4 279
 
0.5%
5 7
 
< 0.1%
(Missing) 36
 
0.1%
ValueCountFrequency (%)
0 30924
55.1%
1 16637
29.6%
2 6510
 
11.6%
3 1734
 
3.1%
4 279
 
0.5%
ValueCountFrequency (%)
5 7
 
< 0.1%
4 279
 
0.5%
3 1734
 
3.1%
2 6510
 
11.6%
1 16637
29.6%

Headers - away
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)0.1%
Missing9678
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean12.17410493
Minimum0
Maximum61
Zeros912
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:09.524469image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q317
95-th percentile30
Maximum61
Range61
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.07290131
Coefficient of variation (CV)0.7452622891
Kurtosis1.170103461
Mean12.17410493
Median Absolute Deviation (MAD)6
Skewness1.029540492
Sum565475
Variance82.31753818
MonotonicityNot monotonic
2024-12-15T14:13:09.679935image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2708
 
4.8%
2 2599
 
4.6%
1 2376
 
4.2%
6 2328
 
4.1%
5 2191
 
3.9%
8 2177
 
3.9%
9 2131
 
3.8%
3 2051
 
3.7%
7 2022
 
3.6%
10 1974
 
3.5%
Other values (51) 23892
42.6%
(Missing) 9678
17.2%
ValueCountFrequency (%)
0 912
 
1.6%
1 2376
4.2%
2 2599
4.6%
3 2051
3.7%
4 2708
4.8%
ValueCountFrequency (%)
61 2
 
< 0.1%
60 1
 
< 0.1%
59 5
< 0.1%
58 8
< 0.1%
57 4
< 0.1%

Headers - home
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)0.1%
Missing9672
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean13.00413303
Minimum0
Maximum69
Zeros887
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:09.835890image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median11
Q319
95-th percentile31
Maximum69
Range69
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.781688568
Coefficient of variation (CV)0.752198439
Kurtosis0.9256025462
Mean13.00413303
Median Absolute Deviation (MAD)7
Skewness0.9879154341
Sum604107
Variance95.68143123
MonotonicityNot monotonic
2024-12-15T14:13:09.995167image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2634
 
4.7%
1 2383
 
4.2%
4 2363
 
4.2%
7 2231
 
4.0%
6 2109
 
3.8%
8 2056
 
3.7%
5 2046
 
3.6%
10 1969
 
3.5%
3 1937
 
3.5%
11 1709
 
3.0%
Other values (55) 25018
44.6%
(Missing) 9672
 
17.2%
ValueCountFrequency (%)
0 887
 
1.6%
1 2383
4.2%
2 2634
4.7%
3 1937
3.5%
4 2363
4.2%
ValueCountFrequency (%)
69 3
< 0.1%
65 2
 
< 0.1%
64 6
< 0.1%
62 3
< 0.1%
61 1
 
< 0.1%

Hit Woodwork - away
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing194
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1361986663
Minimum0
Maximum3
Zeros49169
Zeros (%)87.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:10.121366image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3865275355
Coefficient of variation (CV)2.83796858
Kurtosis9.094040091
Mean0.1361986663
Median Absolute Deviation (MAD)0
Skewness2.970476853
Sum7618
Variance0.1494035357
MonotonicityNot monotonic
2024-12-15T14:13:10.231654image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 49169
87.6%
1 5944
 
10.6%
2 786
 
1.4%
3 34
 
0.1%
(Missing) 194
 
0.3%
ValueCountFrequency (%)
0 49169
87.6%
1 5944
 
10.6%
2 786
 
1.4%
3 34
 
0.1%
ValueCountFrequency (%)
3 34
 
0.1%
2 786
 
1.4%
1 5944
 
10.6%
0 49169
87.6%

Hit Woodwork - home
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing173
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1509990349
Minimum0
Maximum3
Zeros48540
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:10.340670image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4104685459
Coefficient of variation (CV)2.718352115
Kurtosis9.212125609
Mean0.1509990349
Median Absolute Deviation (MAD)0
Skewness2.92028675
Sum8449
Variance0.1684844272
MonotonicityNot monotonic
2024-12-15T14:13:10.450814image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 48540
86.5%
1 6471
 
11.5%
2 851
 
1.5%
3 92
 
0.2%
(Missing) 173
 
0.3%
ValueCountFrequency (%)
0 48540
86.5%
1 6471
 
11.5%
2 851
 
1.5%
3 92
 
0.2%
ValueCountFrequency (%)
3 92
 
0.2%
2 851
 
1.5%
1 6471
 
11.5%
0 48540
86.5%

Injuries - away
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing41602
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean0.9257831325
Minimum0
Maximum5
Zeros4761
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:10.719841image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.831094707
Coefficient of variation (CV)0.8977207273
Kurtosis0.6014961872
Mean0.9257831325
Median Absolute Deviation (MAD)1
Skewness0.8007744263
Sum13447
Variance0.6907184121
MonotonicityNot monotonic
2024-12-15T14:13:10.836371image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6835
 
12.2%
0 4761
 
8.5%
2 2250
 
4.0%
3 609
 
1.1%
4 65
 
0.1%
5 5
 
< 0.1%
(Missing) 41602
74.1%
ValueCountFrequency (%)
0 4761
8.5%
1 6835
12.2%
2 2250
 
4.0%
3 609
 
1.1%
4 65
 
0.1%
ValueCountFrequency (%)
5 5
 
< 0.1%
4 65
 
0.1%
3 609
 
1.1%
2 2250
 
4.0%
1 6835
12.2%

Injuries - home
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing41600
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean0.7818544779
Minimum0
Maximum5
Zeros5666
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:10.953154image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7897394133
Coefficient of variation (CV)1.010084914
Kurtosis3.123567241
Mean0.7818544779
Median Absolute Deviation (MAD)1
Skewness1.274956376
Sum11358
Variance0.6236883409
MonotonicityNot monotonic
2024-12-15T14:13:11.073277image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6971
 
12.4%
0 5666
 
10.1%
2 1416
 
2.5%
3 395
 
0.7%
5 54
 
0.1%
4 25
 
< 0.1%
(Missing) 41600
74.1%
ValueCountFrequency (%)
0 5666
10.1%
1 6971
12.4%
2 1416
 
2.5%
3 395
 
0.7%
4 25
 
< 0.1%
ValueCountFrequency (%)
5 54
 
0.1%
4 25
 
< 0.1%
3 395
 
0.7%
2 1416
 
2.5%
1 6971
12.4%

Interceptions - away
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing4077
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean4.381287224
Minimum0
Maximum21
Zeros3531
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:11.200475image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.146267394
Coefficient of variation (CV)0.7181148447
Kurtosis0.5675872273
Mean4.381287224
Median Absolute Deviation (MAD)2
Skewness0.846774139
Sum228046
Variance9.898998516
MonotonicityNot monotonic
2024-12-15T14:13:11.328923image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 7111
12.7%
1 6616
11.8%
3 6538
11.6%
4 5889
10.5%
5 5667
10.1%
6 4656
8.3%
7 3725
6.6%
0 3531
6.3%
8 2670
 
4.8%
9 1776
 
3.2%
Other values (12) 3871
6.9%
(Missing) 4077
7.3%
ValueCountFrequency (%)
0 3531
6.3%
1 6616
11.8%
2 7111
12.7%
3 6538
11.6%
4 5889
10.5%
ValueCountFrequency (%)
21 4
 
< 0.1%
20 4
 
< 0.1%
19 12
 
< 0.1%
18 8
 
< 0.1%
17 41
0.1%

Interceptions - home
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing4056
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean4.341956175
Minimum0
Maximum22
Zeros3257
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:11.463485image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile11
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.236972912
Coefficient of variation (CV)0.745510268
Kurtosis1.141106899
Mean4.341956175
Median Absolute Deviation (MAD)2
Skewness1.016339714
Sum226090
Variance10.47799363
MonotonicityNot monotonic
2024-12-15T14:13:11.598901image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 7513
13.4%
2 7097
12.6%
3 6868
12.2%
4 5893
10.5%
5 5671
10.1%
6 3979
7.1%
7 3265
5.8%
0 3257
5.8%
8 2516
 
4.5%
9 1909
 
3.4%
Other values (13) 4103
7.3%
(Missing) 4056
7.2%
ValueCountFrequency (%)
0 3257
5.8%
1 7513
13.4%
2 7097
12.6%
3 6868
12.2%
4 5893
10.5%
ValueCountFrequency (%)
22 3
 
< 0.1%
21 22
< 0.1%
20 25
< 0.1%
19 8
 
< 0.1%
18 27
< 0.1%

Key Passes - away
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing5248
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean4.121012599
Minimum0
Maximum20
Zeros5159
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:11.729633image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile10
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.250571605
Coefficient of variation (CV)0.7887798271
Kurtosis0.7740815022
Mean4.121012599
Median Absolute Deviation (MAD)2
Skewness0.9404788304
Sum209673
Variance10.56621576
MonotonicityNot monotonic
2024-12-15T14:13:11.866757image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 7677
13.7%
2 6491
11.6%
3 5893
10.5%
4 5594
10.0%
0 5159
9.2%
5 4896
8.7%
6 3969
7.1%
7 3564
6.3%
8 2540
 
4.5%
9 1579
 
2.8%
Other values (11) 3517
6.3%
(Missing) 5248
9.4%
ValueCountFrequency (%)
0 5159
9.2%
1 7677
13.7%
2 6491
11.6%
3 5893
10.5%
4 5594
10.0%
ValueCountFrequency (%)
20 4
 
< 0.1%
19 11
 
< 0.1%
18 32
 
0.1%
17 86
0.2%
16 47
0.1%

Key Passes - home
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)0.1%
Missing5244
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean5.044730067
Minimum0
Maximum25
Zeros3370
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:12.012693image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile12
Maximum25
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.752960113
Coefficient of variation (CV)0.7439367544
Kurtosis0.7571054502
Mean5.044730067
Median Absolute Deviation (MAD)2
Skewness0.9266346371
Sum256691
Variance14.08470961
MonotonicityNot monotonic
2024-12-15T14:13:12.152653image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 6061
10.8%
2 5762
10.3%
3 5408
9.6%
4 5379
9.6%
5 4738
8.4%
6 4634
8.3%
7 3964
7.1%
0 3370
6.0%
8 2873
5.1%
9 2485
4.4%
Other values (16) 6209
11.1%
(Missing) 5244
9.3%
ValueCountFrequency (%)
0 3370
6.0%
1 6061
10.8%
2 5762
10.3%
3 5408
9.6%
4 5379
9.6%
ValueCountFrequency (%)
25 4
 
< 0.1%
24 5
< 0.1%
23 11
< 0.1%
22 11
< 0.1%
21 11
< 0.1%

Long Passes - away
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)0.1%
Missing5077
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean11.07181195
Minimum0
Maximum51
Zeros1375
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:12.304983image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q316
95-th percentile24
Maximum51
Range51
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.328089115
Coefficient of variation (CV)0.6618690011
Kurtosis0.4120628061
Mean11.07181195
Median Absolute Deviation (MAD)5
Skewness0.6930592356
Sum565216
Variance53.70089007
MonotonicityNot monotonic
2024-12-15T14:13:12.482494image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2894
 
5.2%
6 2584
 
4.6%
5 2520
 
4.5%
3 2495
 
4.4%
10 2490
 
4.4%
7 2480
 
4.4%
11 2477
 
4.4%
2 2372
 
4.2%
9 2367
 
4.2%
1 2336
 
4.2%
Other values (41) 26035
46.4%
(Missing) 5077
 
9.0%
ValueCountFrequency (%)
0 1375
2.4%
1 2336
4.2%
2 2372
4.2%
3 2495
4.4%
4 2324
4.1%
ValueCountFrequency (%)
51 2
 
< 0.1%
50 3
 
< 0.1%
48 2
 
< 0.1%
47 3
 
< 0.1%
46 17
< 0.1%

Long Passes - home
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.1%
Missing5067
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean11.46568743
Minimum0
Maximum45
Zeros1271
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:12.652204image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q316
95-th percentile25
Maximum45
Range45
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.642826355
Coefficient of variation (CV)0.6665824796
Kurtosis0.08604689406
Mean11.46568743
Median Absolute Deviation (MAD)5
Skewness0.670475295
Sum585438
Variance58.4127947
MonotonicityNot monotonic
2024-12-15T14:13:12.803770image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
7 2638
 
4.7%
8 2588
 
4.6%
4 2559
 
4.6%
3 2521
 
4.5%
5 2503
 
4.5%
6 2480
 
4.4%
9 2421
 
4.3%
11 2418
 
4.3%
13 2276
 
4.1%
2 2207
 
3.9%
Other values (35) 26449
47.1%
(Missing) 5067
 
9.0%
ValueCountFrequency (%)
0 1271
2.3%
1 2182
3.9%
2 2207
3.9%
3 2521
4.5%
4 2559
4.6%
ValueCountFrequency (%)
45 5
 
< 0.1%
44 4
 
< 0.1%
42 8
 
< 0.1%
41 23
< 0.1%
40 21
< 0.1%

Offsides - away
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing16710
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean1.109115356
Minimum0
Maximum7
Zeros12610
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:12.926523image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.085680161
Coefficient of variation (CV)0.9788703716
Kurtosis1.699641729
Mean1.109115356
Median Absolute Deviation (MAD)1
Skewness1.200357302
Sum43718
Variance1.178701412
MonotonicityNot monotonic
2024-12-15T14:13:13.046027image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 16076
28.6%
0 12610
22.5%
2 6514
 
11.6%
3 2705
 
4.8%
4 1153
 
2.1%
5 285
 
0.5%
6 56
 
0.1%
7 18
 
< 0.1%
(Missing) 16710
29.8%
ValueCountFrequency (%)
0 12610
22.5%
1 16076
28.6%
2 6514
11.6%
3 2705
 
4.8%
4 1153
 
2.1%
ValueCountFrequency (%)
7 18
 
< 0.1%
6 56
 
0.1%
5 285
 
0.5%
4 1153
2.1%
3 2705
4.8%

Offsides - home
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing16705
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean1.36690173
Minimum0
Maximum10
Zeros10242
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:13.175096image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.307856125
Coefficient of variation (CV)0.9568033283
Kurtosis3.995053252
Mean1.36690173
Median Absolute Deviation (MAD)1
Skewness1.56303482
Sum53886
Variance1.710487643
MonotonicityNot monotonic
2024-12-15T14:13:13.299546image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 15258
27.2%
0 10242
18.2%
2 7667
13.7%
3 3644
 
6.5%
4 1656
 
3.0%
5 452
 
0.8%
6 227
 
0.4%
7 136
 
0.2%
8 108
 
0.2%
9 20
 
< 0.1%
(Missing) 16705
29.8%
ValueCountFrequency (%)
0 10242
18.2%
1 15258
27.2%
2 7667
13.7%
3 3644
 
6.5%
4 1656
 
3.0%
ValueCountFrequency (%)
10 12
 
< 0.1%
9 20
 
< 0.1%
8 108
0.2%
7 136
0.2%
6 227
0.4%

Passes - away
Real number (ℝ)

Distinct710
Distinct (%)1.3%
Missing290
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean209.327668
Minimum0
Maximum841
Zeros326
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:13.461119image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.8
Q198
median195
Q3301
95-th percentile457
Maximum841
Range841
Interquartile range (IQR)203

Descriptive statistics

Standard deviation137.3957763
Coefficient of variation (CV)0.6563670134
Kurtosis-0.00425827223
Mean209.327668
Median Absolute Deviation (MAD)101
Skewness0.6029250355
Sum11688229
Variance18877.59934
MonotonicityNot monotonic
2024-12-15T14:13:13.617217image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 326
 
0.6%
1 264
 
0.5%
127 192
 
0.3%
126 189
 
0.3%
2 189
 
0.3%
97 186
 
0.3%
151 184
 
0.3%
125 182
 
0.3%
191 178
 
0.3%
170 178
 
0.3%
Other values (700) 53769
95.8%
(Missing) 290
 
0.5%
ValueCountFrequency (%)
0 326
0.6%
1 264
0.5%
2 189
0.3%
3 128
 
0.2%
4 144
0.3%
ValueCountFrequency (%)
841 1
 
< 0.1%
835 1
 
< 0.1%
830 4
< 0.1%
827 2
< 0.1%
810 3
< 0.1%

Passes - home
Real number (ℝ)

Distinct698
Distinct (%)1.2%
Missing276
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean215.341301
Minimum0
Maximum776
Zeros411
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:13.775630image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q1102
median202
Q3310
95-th percentile465
Maximum776
Range776
Interquartile range (IQR)208

Descriptive statistics

Standard deviation139.1335749
Coefficient of variation (CV)0.6461072458
Kurtosis-0.2612847439
Mean215.341301
Median Absolute Deviation (MAD)103
Skewness0.5216394044
Sum12027027
Variance19358.15166
MonotonicityNot monotonic
2024-12-15T14:13:13.942224image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 411
 
0.7%
112 206
 
0.4%
1 204
 
0.4%
167 190
 
0.3%
171 185
 
0.3%
218 181
 
0.3%
176 181
 
0.3%
53 181
 
0.3%
206 180
 
0.3%
92 180
 
0.3%
Other values (688) 53752
95.8%
(Missing) 276
 
0.5%
ValueCountFrequency (%)
0 411
0.7%
1 204
0.4%
2 177
0.3%
3 149
 
0.3%
4 96
 
0.2%
ValueCountFrequency (%)
776 2
< 0.1%
761 3
< 0.1%
758 1
 
< 0.1%
752 4
< 0.1%
749 2
< 0.1%

Penalties - away
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing77
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.06792149866
Minimum0
Maximum3
Zeros52635
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:14.074059image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2805786546
Coefficient of variation (CV)4.130925556
Kurtosis24.68833283
Mean0.06792149866
Median Absolute Deviation (MAD)0
Skewness4.62229382
Sum3807
Variance0.07872438143
MonotonicityNot monotonic
2024-12-15T14:13:14.187045image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 52635
93.8%
1 3063
 
5.5%
2 312
 
0.6%
3 40
 
0.1%
(Missing) 77
 
0.1%
ValueCountFrequency (%)
0 52635
93.8%
1 3063
 
5.5%
2 312
 
0.6%
3 40
 
0.1%
ValueCountFrequency (%)
3 40
 
0.1%
2 312
 
0.6%
1 3063
 
5.5%
0 52635
93.8%

Penalties - home
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing70
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.08211284942
Minimum0
Maximum2
Zeros51719
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:14.302383image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.291249901
Coefficient of variation (CV)3.546946708
Kurtosis13.06419359
Mean0.08211284942
Median Absolute Deviation (MAD)0
Skewness3.603712821
Sum4603
Variance0.08482650482
MonotonicityNot monotonic
2024-12-15T14:13:14.424842image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 51719
92.1%
1 4073
 
7.3%
2 265
 
0.5%
(Missing) 70
 
0.1%
ValueCountFrequency (%)
0 51719
92.1%
1 4073
 
7.3%
2 265
 
0.5%
ValueCountFrequency (%)
2 265
 
0.5%
1 4073
 
7.3%
0 51719
92.1%

Redcards - away
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing64
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.03064409682
Minimum0
Maximum2
Zeros54408
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:14.547055image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1787542383
Coefficient of variation (CV)5.833235657
Kurtosis38.11800551
Mean0.03064409682
Median Absolute Deviation (MAD)0
Skewness6.026545513
Sum1718
Variance0.03195307769
MonotonicityNot monotonic
2024-12-15T14:13:14.669316image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 54408
96.9%
1 1592
 
2.8%
2 63
 
0.1%
(Missing) 64
 
0.1%
ValueCountFrequency (%)
0 54408
96.9%
1 1592
 
2.8%
2 63
 
0.1%
ValueCountFrequency (%)
2 63
 
0.1%
1 1592
 
2.8%
0 54408
96.9%

Redcards - home
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing55
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.0301041518
Minimum0
Maximum1
Zeros54384
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:14.793429image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17087543
Coefficient of variation (CV)5.676141654
Kurtosis28.25167419
Mean0.0301041518
Median Absolute Deviation (MAD)0
Skewness5.500060591
Sum1688
Variance0.02919841258
MonotonicityNot monotonic
2024-12-15T14:13:14.906560image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 54384
96.9%
1 1688
 
3.0%
(Missing) 55
 
0.1%
ValueCountFrequency (%)
0 54384
96.9%
1 1688
 
3.0%
ValueCountFrequency (%)
1 1688
 
3.0%
0 54384
96.9%

Saves - away
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing10188
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.876379547
Minimum0
Maximum12
Zeros7497
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:15.022406image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.57555281
Coefficient of variation (CV)0.8396770325
Kurtosis2.066693003
Mean1.876379547
Median Absolute Deviation (MAD)1
Skewness1.243062452
Sum86199
Variance2.482366656
MonotonicityNot monotonic
2024-12-15T14:13:15.155243image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 15745
28.1%
2 9880
17.6%
0 7497
13.4%
3 6120
 
10.9%
4 3626
 
6.5%
5 1648
 
2.9%
6 780
 
1.4%
7 406
 
0.7%
8 116
 
0.2%
9 86
 
0.2%
Other values (2) 35
 
0.1%
(Missing) 10188
18.2%
ValueCountFrequency (%)
0 7497
13.4%
1 15745
28.1%
2 9880
17.6%
3 6120
 
10.9%
4 3626
 
6.5%
ValueCountFrequency (%)
12 8
 
< 0.1%
10 27
 
< 0.1%
9 86
 
0.2%
8 116
 
0.2%
7 406
0.7%

Saves - home
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing10178
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.470695771
Minimum0
Maximum8
Zeros12004
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:15.276500image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.380980759
Coefficient of variation (CV)0.9389982526
Kurtosis1.594150032
Mean1.470695771
Median Absolute Deviation (MAD)1
Skewness1.200823862
Sum67577
Variance1.907107858
MonotonicityNot monotonic
2024-12-15T14:13:15.404482image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 15858
28.3%
0 12004
21.4%
2 9223
16.4%
3 4801
 
8.6%
4 2411
 
4.3%
5 932
 
1.7%
6 504
 
0.9%
7 186
 
0.3%
8 30
 
0.1%
(Missing) 10178
18.1%
ValueCountFrequency (%)
0 12004
21.4%
1 15858
28.3%
2 9223
16.4%
3 4801
 
8.6%
4 2411
 
4.3%
ValueCountFrequency (%)
8 30
 
0.1%
7 186
 
0.3%
6 504
 
0.9%
5 932
 
1.7%
4 2411
4.3%

Score Change - away
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009229069788
Minimum-1
Maximum2
Zeros55491
Zeros (%)98.9%
Negative60
Negative (%)0.1%
Memory size877.0 KiB
2024-12-15T14:13:15.523829image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1065522019
Coefficient of variation (CV)11.54528077
Kurtosis86.40788689
Mean0.009229069788
Median Absolute Deviation (MAD)0
Skewness7.545699726
Sum518
Variance0.01135337173
MonotonicityNot monotonic
2024-12-15T14:13:15.636596image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 55491
98.9%
1 574
 
1.0%
-1 60
 
0.1%
2 2
 
< 0.1%
ValueCountFrequency (%)
-1 60
 
0.1%
0 55491
98.9%
1 574
 
1.0%
2 2
 
< 0.1%
ValueCountFrequency (%)
2 2
 
< 0.1%
1 574
 
1.0%
0 55491
98.9%
-1 60
 
0.1%

Score Change - home
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01003082296
Minimum-1
Maximum2
Zeros55401
Zeros (%)98.7%
Negative82
Negative (%)0.1%
Memory size877.0 KiB
2024-12-15T14:13:15.747791image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1135253871
Coefficient of variation (CV)11.31765436
Kurtosis74.09064165
Mean0.01003082296
Median Absolute Deviation (MAD)0
Skewness6.663453306
Sum563
Variance0.01288801352
MonotonicityNot monotonic
2024-12-15T14:13:15.857816image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 55401
98.7%
1 643
 
1.1%
-1 82
 
0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
-1 82
 
0.1%
0 55401
98.7%
1 643
 
1.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
1 643
 
1.1%
0 55401
98.7%
-1 82
 
0.1%

Shots Blocked - away
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing225
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.427229795
Minimum0
Maximum12
Zeros20558
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:16.137596image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.623699889
Coefficient of variation (CV)1.137658347
Kurtosis3.251077807
Mean1.427229795
Median Absolute Deviation (MAD)1
Skewness1.549117653
Sum79785
Variance2.636401331
MonotonicityNot monotonic
2024-12-15T14:13:16.263048image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 20558
36.6%
1 14375
25.6%
2 9285
16.5%
3 5736
 
10.2%
4 2813
 
5.0%
5 1696
 
3.0%
6 786
 
1.4%
7 389
 
0.7%
10 96
 
0.2%
8 93
 
0.2%
Other values (3) 75
 
0.1%
(Missing) 225
 
0.4%
ValueCountFrequency (%)
0 20558
36.6%
1 14375
25.6%
2 9285
16.5%
3 5736
 
10.2%
4 2813
 
5.0%
ValueCountFrequency (%)
12 26
 
< 0.1%
11 2
 
< 0.1%
10 96
0.2%
9 47
0.1%
8 93
0.2%

Shots Blocked - home
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing213
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.685069929
Minimum0
Maximum12
Zeros18543
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:16.384776image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.852671886
Coefficient of variation (CV)1.099462909
Kurtosis2.252559636
Mean1.685069929
Median Absolute Deviation (MAD)1
Skewness1.417281449
Sum94219
Variance3.432393117
MonotonicityNot monotonic
2024-12-15T14:13:16.515921image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 18543
33.0%
1 13849
24.7%
2 8861
15.8%
3 5804
 
10.3%
4 4099
 
7.3%
5 2164
 
3.9%
6 1322
 
2.4%
7 661
 
1.2%
8 275
 
0.5%
9 176
 
0.3%
Other values (3) 160
 
0.3%
(Missing) 213
 
0.4%
ValueCountFrequency (%)
0 18543
33.0%
1 13849
24.7%
2 8861
15.8%
3 5804
 
10.3%
4 4099
 
7.3%
ValueCountFrequency (%)
12 7
 
< 0.1%
11 63
 
0.1%
10 90
 
0.2%
9 176
0.3%
8 275
0.5%

Shots Insidebox - away
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing256
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.147500492
Minimum0
Maximum19
Zeros11563
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:16.645390image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile9
Maximum19
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.943278128
Coefficient of variation (CV)0.9351160182
Kurtosis1.262284763
Mean3.147500492
Median Absolute Deviation (MAD)2
Skewness1.118565735
Sum175854
Variance8.662886136
MonotonicityNot monotonic
2024-12-15T14:13:16.781264image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11563
20.6%
1 9182
16.4%
2 7577
13.5%
3 6425
11.4%
4 5545
9.9%
5 4268
 
7.6%
6 3777
 
6.7%
7 2402
 
4.3%
8 1758
 
3.1%
9 1309
 
2.3%
Other values (10) 2065
 
3.7%
ValueCountFrequency (%)
0 11563
20.6%
1 9182
16.4%
2 7577
13.5%
3 6425
11.4%
4 5545
9.9%
ValueCountFrequency (%)
19 5
 
< 0.1%
18 22
 
< 0.1%
17 59
0.1%
16 28
< 0.1%
15 42
0.1%

Shots Insidebox - home
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing237
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean3.984505278
Minimum0
Maximum27
Zeros9301
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:16.921398image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile11
Maximum27
Range27
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.514056659
Coefficient of variation (CV)0.8819304817
Kurtosis1.249715947
Mean3.984505278
Median Absolute Deviation (MAD)2
Skewness1.087217106
Sum222694
Variance12.34859421
MonotonicityNot monotonic
2024-12-15T14:13:17.058120image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 9301
16.6%
1 6917
12.3%
2 6842
12.2%
3 6551
11.7%
4 5661
10.1%
5 4445
7.9%
6 4122
7.3%
7 3255
 
5.8%
8 2499
 
4.5%
9 2017
 
3.6%
Other values (15) 4280
7.6%
ValueCountFrequency (%)
0 9301
16.6%
1 6917
12.3%
2 6842
12.2%
3 6551
11.7%
4 5661
10.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
26 4
 
< 0.1%
24 10
< 0.1%
21 13
< 0.1%
20 21
< 0.1%

Shots Off Target - away
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing35
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.96842687
Minimum0
Maximum12
Zeros15549
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:17.184983image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.967416941
Coefficient of variation (CV)0.9994869362
Kurtosis1.40140173
Mean1.96842687
Median Absolute Deviation (MAD)1
Skewness1.212758231
Sum110413
Variance3.870729422
MonotonicityNot monotonic
2024-12-15T14:13:17.312051image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 15549
27.7%
1 12575
22.4%
2 10137
18.1%
3 7027
12.5%
4 4583
 
8.2%
5 2613
 
4.7%
6 1743
 
3.1%
7 906
 
1.6%
8 550
 
1.0%
9 237
 
0.4%
Other values (3) 172
 
0.3%
ValueCountFrequency (%)
0 15549
27.7%
1 12575
22.4%
2 10137
18.1%
3 7027
12.5%
4 4583
 
8.2%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 31
 
0.1%
10 140
 
0.2%
9 237
0.4%
8 550
1.0%

Shots Off Target - home
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing28
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.409329935
Minimum0
Maximum17
Zeros13253
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:17.435521image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.252832273
Coefficient of variation (CV)0.935045151
Kurtosis1.675688802
Mean2.409329935
Median Absolute Deviation (MAD)2
Skewness1.136701338
Sum135161
Variance5.075253248
MonotonicityNot monotonic
2024-12-15T14:13:17.571193image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 13253
23.6%
1 10489
18.7%
2 9672
17.2%
3 7267
12.9%
4 5917
10.5%
5 3754
 
6.7%
6 2492
 
4.4%
7 1643
 
2.9%
8 766
 
1.4%
9 415
 
0.7%
Other values (8) 431
 
0.8%
ValueCountFrequency (%)
0 13253
23.6%
1 10489
18.7%
2 9672
17.2%
3 7267
12.9%
4 5917
10.5%
ValueCountFrequency (%)
17 26
< 0.1%
16 7
 
< 0.1%
15 5
 
< 0.1%
14 2
 
< 0.1%
13 13
< 0.1%

Shots On Target - away
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing34
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.767528925
Minimum0
Maximum11
Zeros17042
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:17.702587image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.769667335
Coefficient of variation (CV)1.00120983
Kurtosis1.223335244
Mean1.767528925
Median Absolute Deviation (MAD)1
Skewness1.133819623
Sum99146
Variance3.131722477
MonotonicityNot monotonic
2024-12-15T14:13:17.823557image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 17042
30.4%
1 12426
22.1%
2 10555
18.8%
3 7190
12.8%
4 4233
 
7.5%
5 2404
 
4.3%
6 1223
 
2.2%
7 612
 
1.1%
8 273
 
0.5%
9 82
 
0.1%
Other values (2) 53
 
0.1%
ValueCountFrequency (%)
0 17042
30.4%
1 12426
22.1%
2 10555
18.8%
3 7190
12.8%
4 4233
 
7.5%
ValueCountFrequency (%)
11 14
 
< 0.1%
10 39
 
0.1%
9 82
 
0.1%
8 273
0.5%
7 612
1.1%

Shots On Target - home
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing28
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.141892012
Minimum0
Maximum15
Zeros13796
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:17.943900image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.020662895
Coefficient of variation (CV)0.9434009198
Kurtosis1.349885658
Mean2.141892012
Median Absolute Deviation (MAD)1
Skewness1.115634425
Sum120158
Variance4.083078534
MonotonicityNot monotonic
2024-12-15T14:13:18.071510image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 13796
24.6%
1 12228
21.8%
2 10052
17.9%
3 7446
13.3%
4 5034
 
9.0%
5 3548
 
6.3%
6 2109
 
3.8%
7 940
 
1.7%
8 499
 
0.9%
9 278
 
0.5%
Other values (6) 169
 
0.3%
ValueCountFrequency (%)
0 13796
24.6%
1 12228
21.8%
2 10052
17.9%
3 7446
13.3%
4 5034
 
9.0%
ValueCountFrequency (%)
15 2
 
< 0.1%
14 6
 
< 0.1%
13 26
< 0.1%
12 22
< 0.1%
11 38
0.1%

Shots Outsidebox - away
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing261
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean1.803386675
Minimum0
Maximum14
Zeros17143
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:18.195370image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.885396351
Coefficient of variation (CV)1.04547537
Kurtosis2.081318342
Mean1.803386675
Median Absolute Deviation (MAD)1
Skewness1.329149964
Sum100748
Variance3.554719399
MonotonicityNot monotonic
2024-12-15T14:13:18.318962image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 17143
30.5%
1 12993
23.1%
2 9613
17.1%
3 6658
 
11.9%
4 4278
 
7.6%
5 2422
 
4.3%
6 1244
 
2.2%
7 755
 
1.3%
8 475
 
0.8%
9 196
 
0.3%
Other values (5) 89
 
0.2%
(Missing) 261
 
0.5%
ValueCountFrequency (%)
0 17143
30.5%
1 12993
23.1%
2 9613
17.1%
3 6658
 
11.9%
4 4278
 
7.6%
ValueCountFrequency (%)
14 11
 
< 0.1%
13 13
 
< 0.1%
12 6
 
< 0.1%
11 35
0.1%
10 24
< 0.1%

Shots Outsidebox - home
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing238
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2.007997996
Minimum0
Maximum18
Zeros15286
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:18.447784image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum18
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.018440542
Coefficient of variation (CV)1.005200476
Kurtosis2.447480881
Mean2.007997996
Median Absolute Deviation (MAD)1
Skewness1.333600482
Sum112225
Variance4.07410222
MonotonicityNot monotonic
2024-12-15T14:13:18.574242image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 15286
27.2%
1 12663
22.6%
2 9594
17.1%
3 7052
12.6%
4 4705
 
8.4%
5 3051
 
5.4%
6 1711
 
3.0%
7 836
 
1.5%
8 426
 
0.8%
9 284
 
0.5%
Other values (7) 281
 
0.5%
(Missing) 238
 
0.4%
ValueCountFrequency (%)
0 15286
27.2%
1 12663
22.6%
2 9594
17.1%
3 7052
12.6%
4 4705
 
8.4%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 10
 
< 0.1%
16 7
 
< 0.1%
15 2
 
< 0.1%
12 27
< 0.1%

Shots Total - away
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.065369608
Minimum0
Maximum24
Zeros7911
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:18.710907image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile13
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.261515772
Coefficient of variation (CV)0.8413040117
Kurtosis0.5359894764
Mean5.065369608
Median Absolute Deviation (MAD)3
Skewness0.8966506952
Sum284304
Variance18.16051668
MonotonicityNot monotonic
2024-12-15T14:13:18.843341image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 7911
14.1%
1 6064
10.8%
2 5478
9.8%
4 4842
8.6%
3 4793
8.5%
5 4724
8.4%
7 3770
6.7%
6 3752
6.7%
8 2958
 
5.3%
9 2956
 
5.3%
Other values (15) 8879
15.8%
ValueCountFrequency (%)
0 7911
14.1%
1 6064
10.8%
2 5478
9.8%
3 4793
8.5%
4 4842
8.6%
ValueCountFrequency (%)
24 16
 
< 0.1%
23 32
 
0.1%
22 32
 
0.1%
21 83
0.1%
20 105
0.2%

Shots Total - home
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.135763536
Minimum0
Maximum35
Zeros6497
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:18.978486image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile15
Maximum35
Range35
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.953350213
Coefficient of variation (CV)0.8072915756
Kurtosis0.6384552859
Mean6.135763536
Median Absolute Deviation (MAD)3
Skewness0.8837343892
Sum344382
Variance24.53567833
MonotonicityNot monotonic
2024-12-15T14:13:19.125125image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 6497
11.6%
1 5002
 
8.9%
2 4501
 
8.0%
3 4488
 
8.0%
5 4156
 
7.4%
4 4094
 
7.3%
6 3954
 
7.0%
7 3798
 
6.8%
8 3390
 
6.0%
9 3232
 
5.8%
Other values (25) 13015
23.2%
ValueCountFrequency (%)
0 6497
11.6%
1 5002
8.9%
2 4501
8.0%
3 4488
8.0%
4 4094
7.3%
ValueCountFrequency (%)
35 1
 
< 0.1%
34 1
 
< 0.1%
33 5
< 0.1%
32 1
 
< 0.1%
31 3
< 0.1%

Substitutions - away
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing83
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.076850332
Minimum0
Maximum8
Zeros34353
Zeros (%)61.2%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:19.257454image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.644285275
Coefficient of variation (CV)1.52693947
Kurtosis0.5276537152
Mean1.076850332
Median Absolute Deviation (MAD)0
Skewness1.349750029
Sum60351
Variance2.703674065
MonotonicityNot monotonic
2024-12-15T14:13:19.383929image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34353
61.2%
1 6091
 
10.9%
2 4137
 
7.4%
3 4122
 
7.3%
4 3503
 
6.2%
5 3494
 
6.2%
6 285
 
0.5%
7 44
 
0.1%
8 15
 
< 0.1%
(Missing) 83
 
0.1%
ValueCountFrequency (%)
0 34353
61.2%
1 6091
 
10.9%
2 4137
 
7.4%
3 4122
 
7.3%
4 3503
 
6.2%
ValueCountFrequency (%)
8 15
 
< 0.1%
7 44
 
0.1%
6 285
 
0.5%
5 3494
6.2%
4 3503
6.2%

Substitutions - home
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing73
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.001462875
Minimum0
Maximum9
Zeros35401
Zeros (%)63.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:19.512815image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.580966076
Coefficient of variation (CV)1.578656698
Kurtosis0.8015712929
Mean1.001462875
Median Absolute Deviation (MAD)0
Skewness1.431438945
Sum56136
Variance2.499453732
MonotonicityNot monotonic
2024-12-15T14:13:19.635176image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 35401
63.1%
1 5806
 
10.3%
2 4269
 
7.6%
3 4105
 
7.3%
4 3144
 
5.6%
5 3123
 
5.6%
6 175
 
0.3%
7 17
 
< 0.1%
8 9
 
< 0.1%
9 5
 
< 0.1%
(Missing) 73
 
0.1%
ValueCountFrequency (%)
0 35401
63.1%
1 5806
 
10.3%
2 4269
 
7.6%
3 4105
 
7.3%
4 3144
 
5.6%
ValueCountFrequency (%)
9 5
 
< 0.1%
8 9
 
< 0.1%
7 17
 
< 0.1%
6 175
 
0.3%
5 3123
5.6%

Successful Dribbles - away
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing5076
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean3.3473977
Minimum0
Maximum19
Zeros6182
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:19.756934image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum19
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.822186834
Coefficient of variation (CV)0.8430987551
Kurtosis1.848598255
Mean3.3473977
Median Absolute Deviation (MAD)2
Skewness1.223776002
Sum170888
Variance7.964738527
MonotonicityNot monotonic
2024-12-15T14:13:19.884257image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 9279
16.5%
2 8737
15.6%
3 6718
12.0%
0 6182
11.0%
4 5931
10.6%
5 4011
7.1%
6 3531
 
6.3%
7 2106
 
3.8%
8 1509
 
2.7%
9 1102
 
2.0%
Other values (10) 1945
 
3.5%
(Missing) 5076
9.0%
ValueCountFrequency (%)
0 6182
11.0%
1 9279
16.5%
2 8737
15.6%
3 6718
12.0%
4 5931
10.6%
ValueCountFrequency (%)
19 19
 
< 0.1%
18 16
 
< 0.1%
17 23
 
< 0.1%
16 30
 
0.1%
15 100
0.2%

Successful Dribbles - home
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing5059
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean3.399369468
Minimum0
Maximum20
Zeros5802
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:20.017215image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.815804949
Coefficient of variation (CV)0.8283315406
Kurtosis1.495560465
Mean3.399369468
Median Absolute Deviation (MAD)2
Skewness1.160909424
Sum173599
Variance7.928757509
MonotonicityNot monotonic
2024-12-15T14:13:20.154928image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 9565
17.0%
2 8006
14.3%
3 7177
12.8%
0 5802
10.3%
4 5485
9.8%
5 4834
8.6%
6 3551
 
6.3%
7 2142
 
3.8%
8 1454
 
2.6%
9 1014
 
1.8%
Other values (9) 2038
 
3.6%
(Missing) 5059
9.0%
ValueCountFrequency (%)
0 5802
10.3%
1 9565
17.0%
2 8006
14.3%
3 7177
12.8%
4 5485
9.8%
ValueCountFrequency (%)
20 6
 
< 0.1%
17 18
 
< 0.1%
16 34
 
0.1%
15 47
 
0.1%
14 128
0.2%

Successful Headers - away
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)0.1%
Missing9694
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean6.270303448
Minimum0
Maximum30
Zeros2276
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:20.299082image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile16
Maximum30
Range30
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.764293534
Coefficient of variation (CV)0.7598186553
Kurtosis0.8256001444
Mean6.270303448
Median Absolute Deviation (MAD)3
Skewness1.000355669
Sum291149
Variance22.69849288
MonotonicityNot monotonic
2024-12-15T14:13:20.434668image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 4656
8.3%
1 4638
8.3%
3 4326
7.7%
5 4112
 
7.3%
4 4068
 
7.2%
6 3648
 
6.5%
7 3103
 
5.5%
8 2805
 
5.0%
9 2313
 
4.1%
0 2276
 
4.1%
Other values (20) 10488
18.7%
(Missing) 9694
17.3%
ValueCountFrequency (%)
0 2276
4.1%
1 4638
8.3%
2 4656
8.3%
3 4326
7.7%
4 4068
7.2%
ValueCountFrequency (%)
30 4
 
< 0.1%
28 11
< 0.1%
27 16
< 0.1%
26 13
< 0.1%
25 26
< 0.1%

Successful Headers - home
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.1%
Missing9684
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean6.361992119
Minimum0
Maximum34
Zeros2449
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:20.575511image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile16
Maximum34
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.909688207
Coefficient of variation (CV)0.7717218311
Kurtosis0.942336429
Mean6.361992119
Median Absolute Deviation (MAD)3
Skewness1.000420299
Sum295470
Variance24.10503829
MonotonicityNot monotonic
2024-12-15T14:13:20.721905image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 5015
8.9%
3 4550
8.1%
2 4363
 
7.8%
5 3727
 
6.6%
4 3550
 
6.3%
6 3434
 
6.1%
7 3024
 
5.4%
8 2794
 
5.0%
9 2455
 
4.4%
0 2449
 
4.4%
Other values (22) 11082
19.7%
(Missing) 9684
17.3%
ValueCountFrequency (%)
0 2449
4.4%
1 5015
8.9%
2 4363
7.8%
3 4550
8.1%
4 3550
6.3%
ValueCountFrequency (%)
34 3
 
< 0.1%
31 2
 
< 0.1%
30 6
 
< 0.1%
28 17
< 0.1%
27 24
< 0.1%

Successful Interceptions - away
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.1%
Missing2561
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean7.295224583
Minimum0
Maximum31
Zeros1851
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:20.866014image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile17
Maximum31
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.056147582
Coefficient of variation (CV)0.6930763439
Kurtosis0.1990588678
Mean7.295224583
Median Absolute Deviation (MAD)3
Skewness0.751573645
Sum390776
Variance25.56462837
MonotonicityNot monotonic
2024-12-15T14:13:21.003698image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2 4405
 
7.8%
5 4322
 
7.7%
4 4244
 
7.6%
3 4123
 
7.3%
1 4118
 
7.3%
6 3779
 
6.7%
7 3767
 
6.7%
9 3471
 
6.2%
8 3248
 
5.8%
10 2818
 
5.0%
Other values (22) 15271
27.2%
(Missing) 2561
 
4.6%
ValueCountFrequency (%)
0 1851
3.3%
1 4118
7.3%
2 4405
7.8%
3 4123
7.3%
4 4244
7.6%
ValueCountFrequency (%)
31 3
 
< 0.1%
30 2
 
< 0.1%
29 15
< 0.1%
28 13
< 0.1%
27 12
< 0.1%

Successful Interceptions - home
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)0.1%
Missing2556
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean7.411752627
Minimum0
Maximum30
Zeros1950
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:21.140343image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q311
95-th percentile17
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.156515314
Coefficient of variation (CV)0.695721454
Kurtosis0.09397811208
Mean7.411752627
Median Absolute Deviation (MAD)4
Skewness0.7206793849
Sum397055
Variance26.58965019
MonotonicityNot monotonic
2024-12-15T14:13:21.277745image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4 4344
 
7.7%
2 4247
 
7.6%
1 4181
 
7.4%
3 4102
 
7.3%
5 4030
 
7.2%
8 3708
 
6.6%
7 3654
 
6.5%
6 3237
 
5.8%
9 3182
 
5.7%
10 2890
 
5.1%
Other values (21) 15996
28.5%
ValueCountFrequency (%)
0 1950
3.5%
1 4181
7.4%
2 4247
7.6%
3 4102
7.3%
4 4344
7.7%
ValueCountFrequency (%)
30 10
< 0.1%
29 14
< 0.1%
28 10
< 0.1%
27 15
< 0.1%
26 17
< 0.1%

Successful Passes - away
Real number (ℝ)

Distinct645
Distinct (%)1.2%
Missing386
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean173.1084839
Minimum0
Maximum765
Zeros348
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:21.430024image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q178
median155
Q3249
95-th percentile397
Maximum765
Range765
Interquartile range (IQR)171

Descriptive statistics

Standard deviation120.3111494
Coefficient of variation (CV)0.6950043506
Kurtosis0.4931277331
Mean173.1084839
Median Absolute Deviation (MAD)84
Skewness0.8006782603
Sum9649240
Variance14474.77268
MonotonicityNot monotonic
2024-12-15T14:13:21.599922image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 372
 
0.7%
0 348
 
0.6%
106 261
 
0.5%
3 226
 
0.4%
2 225
 
0.4%
112 225
 
0.4%
147 223
 
0.4%
115 222
 
0.4%
88 217
 
0.4%
89 214
 
0.4%
Other values (635) 53208
94.8%
(Missing) 386
 
0.7%
ValueCountFrequency (%)
0 348
0.6%
1 372
0.7%
2 225
0.4%
3 226
0.4%
4 126
 
0.2%
ValueCountFrequency (%)
765 1
 
< 0.1%
762 1
 
< 0.1%
758 4
< 0.1%
756 2
< 0.1%
740 3
< 0.1%

Successful Passes - home
Real number (ℝ)

Distinct636
Distinct (%)1.1%
Missing383
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean179.9755131
Minimum0
Maximum724
Zeros411
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:21.924133image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q182
median164
Q3259
95-th percentile404
Maximum724
Range724
Interquartile range (IQR)177

Descriptive statistics

Standard deviation121.9904743
Coefficient of variation (CV)0.6778170666
Kurtosis0.1109098399
Mean179.9755131
Median Absolute Deviation (MAD)87
Skewness0.6890369178
Sum10032555
Variance14881.67583
MonotonicityNot monotonic
2024-12-15T14:13:22.084378image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 411
 
0.7%
1 280
 
0.5%
155 218
 
0.4%
97 212
 
0.4%
43 211
 
0.4%
135 209
 
0.4%
2 208
 
0.4%
102 208
 
0.4%
114 207
 
0.4%
167 206
 
0.4%
Other values (626) 53374
95.1%
(Missing) 383
 
0.7%
ValueCountFrequency (%)
0 411
0.7%
1 280
0.5%
2 208
0.4%
3 166
0.3%
4 127
 
0.2%
ValueCountFrequency (%)
724 2
< 0.1%
709 3
< 0.1%
702 4
< 0.1%
700 2
< 0.1%
692 1
 
< 0.1%

Successful Passes Percentage - away
Real number (ℝ)

Distinct72
Distinct (%)0.1%
Missing152
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.30835194
Minimum0
Maximum100
Zeros545
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:22.252230image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile63
Q176
median81
Q386
95-th percentile91
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.70715238
Coefficient of variation (CV)0.1476156305
Kurtosis19.53523446
Mean79.30835194
Median Absolute Deviation (MAD)5
Skewness-3.452090485
Sum4439285
Variance137.0574168
MonotonicityNot monotonic
2024-12-15T14:13:22.415792image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84 3312
 
5.9%
85 3201
 
5.7%
81 2947
 
5.3%
80 2849
 
5.1%
82 2844
 
5.1%
83 2780
 
5.0%
78 2630
 
4.7%
79 2556
 
4.6%
86 2494
 
4.4%
88 2426
 
4.3%
Other values (62) 27936
49.8%
ValueCountFrequency (%)
0 545
1.0%
16 13
 
< 0.1%
20 3
 
< 0.1%
25 34
 
0.1%
27 2
 
< 0.1%
ValueCountFrequency (%)
100 447
0.8%
98 6
 
< 0.1%
97 33
 
0.1%
96 52
 
0.1%
95 98
 
0.2%

Successful Passes Percentage - home
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)0.1%
Missing150
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.34555264
Minimum0
Maximum100
Zeros623
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:22.577076image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66
Q177
median82
Q387
95-th percentile91
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.66854034
Coefficient of variation (CV)0.1452294491
Kurtosis23.62224891
Mean80.34555264
Median Absolute Deviation (MAD)5
Skewness-3.966271565
Sum4497503
Variance136.1548338
MonotonicityNot monotonic
2024-12-15T14:13:22.741698image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 3519
 
6.3%
84 3401
 
6.1%
86 3354
 
6.0%
87 3188
 
5.7%
83 3022
 
5.4%
88 2861
 
5.1%
82 2816
 
5.0%
80 2790
 
5.0%
81 2765
 
4.9%
89 2492
 
4.4%
Other values (62) 25769
45.9%
ValueCountFrequency (%)
0 623
1.1%
7 2
 
< 0.1%
12 1
 
< 0.1%
16 4
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
100 433
0.8%
97 17
 
< 0.1%
96 33
 
0.1%
95 91
 
0.2%
94 217
0.4%

Tackles - away
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.1%
Missing1869
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean7.93294998
Minimum0
Maximum32
Zeros1998
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:22.885974image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q312
95-th percentile18
Maximum32
Range32
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.466416783
Coefficient of variation (CV)0.6890774298
Kurtosis-0.05344744664
Mean7.93294998
Median Absolute Deviation (MAD)4
Skewness0.6579687693
Sum430426
Variance29.88171244
MonotonicityNot monotonic
2024-12-15T14:13:23.026640image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 3983
 
7.1%
2 3901
 
7.0%
5 3864
 
6.9%
3 3802
 
6.8%
4 3770
 
6.7%
6 3696
 
6.6%
7 3514
 
6.3%
9 3230
 
5.8%
8 3054
 
5.4%
10 2850
 
5.1%
Other values (23) 18594
33.1%
ValueCountFrequency (%)
0 1998
3.6%
1 3983
7.1%
2 3901
7.0%
3 3802
6.8%
4 3770
6.7%
ValueCountFrequency (%)
32 2
 
< 0.1%
31 6
 
< 0.1%
30 8
 
< 0.1%
29 29
0.1%
28 24
< 0.1%

Tackles - home
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.1%
Missing1858
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean8.165656268
Minimum0
Maximum32
Zeros2015
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:23.165865image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q312
95-th percentile18
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.521043239
Coefficient of variation (CV)0.6761297632
Kurtosis-0.1559582601
Mean8.165656268
Median Absolute Deviation (MAD)4
Skewness0.600638731
Sum443142
Variance30.48191844
MonotonicityNot monotonic
2024-12-15T14:13:23.306872image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4 3830
 
6.8%
1 3723
 
6.6%
2 3696
 
6.6%
5 3634
 
6.5%
3 3516
 
6.3%
6 3439
 
6.1%
8 3439
 
6.1%
7 3334
 
5.9%
9 3133
 
5.6%
10 2924
 
5.2%
Other values (23) 19601
34.9%
ValueCountFrequency (%)
0 2015
3.6%
1 3723
6.6%
2 3696
6.6%
3 3516
6.3%
4 3830
6.8%
ValueCountFrequency (%)
32 2
 
< 0.1%
31 6
 
< 0.1%
30 9
< 0.1%
29 22
< 0.1%
28 13
< 0.1%

Throwins - away
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)0.1%
Missing1082
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean8.371496049
Minimum0
Maximum34
Zeros2459
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:23.450354image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q312
95-th percentile19
Maximum34
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.817692565
Coefficient of variation (CV)0.6949406094
Kurtosis-0.0171926327
Mean8.371496049
Median Absolute Deviation (MAD)4
Skewness0.6491080041
Sum460809
Variance33.84554679
MonotonicityNot monotonic
2024-12-15T14:13:23.608887image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 3940
 
7.0%
2 3628
 
6.5%
5 3507
 
6.2%
7 3449
 
6.1%
4 3436
 
6.1%
6 3405
 
6.1%
8 3359
 
6.0%
9 3326
 
5.9%
3 3245
 
5.8%
10 2875
 
5.1%
Other values (25) 20875
37.2%
ValueCountFrequency (%)
0 2459
4.4%
1 3940
7.0%
2 3628
6.5%
3 3245
5.8%
4 3436
6.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
33 3
 
< 0.1%
32 21
< 0.1%
31 24
< 0.1%
30 14
< 0.1%

Throwins - home
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)0.1%
Missing1075
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean8.654562959
Minimum0
Maximum45
Zeros1980
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:23.768648image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q313
95-th percentile20
Maximum45
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.175360034
Coefficient of variation (CV)0.7135380566
Kurtosis0.4885699508
Mean8.654562959
Median Absolute Deviation (MAD)4
Skewness0.8061462982
Sum476451
Variance38.13507155
MonotonicityNot monotonic
2024-12-15T14:13:23.925937image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 3898
 
6.9%
2 3848
 
6.9%
4 3544
 
6.3%
3 3533
 
6.3%
5 3523
 
6.3%
6 3308
 
5.9%
7 3188
 
5.7%
9 3149
 
5.6%
8 3083
 
5.5%
10 2899
 
5.2%
Other values (34) 21079
37.6%
ValueCountFrequency (%)
0 1980
3.5%
1 3898
6.9%
2 3848
6.9%
3 3533
6.3%
4 3544
6.3%
ValueCountFrequency (%)
45 3
< 0.1%
44 3
< 0.1%
43 1
 
< 0.1%
40 4
< 0.1%
39 3
< 0.1%

Total Crosses - away
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)0.1%
Missing2127
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean7.415759259
Minimum0
Maximum44
Zeros3657
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:24.084434image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q311
95-th percentile19
Maximum44
Range44
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.909025904
Coefficient of variation (CV)0.7968200824
Kurtosis1.108566694
Mean7.415759259
Median Absolute Deviation (MAD)4
Skewness1.041953348
Sum400451
Variance34.91658714
MonotonicityNot monotonic
2024-12-15T14:13:24.226652image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 4547
 
8.1%
2 4534
 
8.1%
3 4070
 
7.3%
4 3895
 
6.9%
6 3810
 
6.8%
0 3657
 
6.5%
5 3581
 
6.4%
7 3085
 
5.5%
8 3030
 
5.4%
10 2751
 
4.9%
Other values (30) 17040
30.4%
ValueCountFrequency (%)
0 3657
6.5%
1 4547
8.1%
2 4534
8.1%
3 4070
7.3%
4 3895
6.9%
ValueCountFrequency (%)
44 1
 
< 0.1%
40 3
 
< 0.1%
38 4
 
< 0.1%
37 5
 
< 0.1%
35 14
< 0.1%

Total Crosses - home
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.1%
Missing2116
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean9.367314066
Minimum0
Maximum44
Zeros2455
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:24.372839image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q314
95-th percentile23
Maximum44
Range44
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.111763969
Coefficient of variation (CV)0.7592105826
Kurtosis0.6672958312
Mean9.367314066
Median Absolute Deviation (MAD)5
Skewness0.9171238648
Sum505938
Variance50.57718675
MonotonicityNot monotonic
2024-12-15T14:13:24.525187image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 3799
 
6.8%
2 3406
 
6.1%
3 3367
 
6.0%
4 3279
 
5.8%
5 3109
 
5.5%
6 3094
 
5.5%
8 2896
 
5.2%
7 2889
 
5.1%
9 2846
 
5.1%
10 2544
 
4.5%
Other values (35) 22782
40.6%
ValueCountFrequency (%)
0 2455
4.4%
1 3799
6.8%
2 3406
6.1%
3 3367
6.0%
4 3279
5.8%
ValueCountFrequency (%)
44 2
 
< 0.1%
43 17
< 0.1%
42 16
< 0.1%
41 10
< 0.1%
40 13
< 0.1%

Yellowcards - away
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing78
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.8412817356
Minimum0
Maximum8
Zeros28645
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:24.651029image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.114582018
Coefficient of variation (CV)1.324861781
Kurtosis3.675828104
Mean0.8412817356
Median Absolute Deviation (MAD)0
Skewness1.666883646
Sum47153
Variance1.242293076
MonotonicityNot monotonic
2024-12-15T14:13:24.776417image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 28645
51.0%
1 15010
26.7%
2 7576
 
13.5%
3 3184
 
5.7%
4 1077
 
1.9%
5 346
 
0.6%
6 123
 
0.2%
8 47
 
0.1%
7 41
 
0.1%
(Missing) 78
 
0.1%
ValueCountFrequency (%)
0 28645
51.0%
1 15010
26.7%
2 7576
 
13.5%
3 3184
 
5.7%
4 1077
 
1.9%
ValueCountFrequency (%)
8 47
 
0.1%
7 41
 
0.1%
6 123
 
0.2%
5 346
 
0.6%
4 1077
1.9%

Yellowcards - home
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing67
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.7486978238
Minimum0
Maximum6
Zeros30773
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:24.895853image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.029260758
Coefficient of variation (CV)1.37473454
Kurtosis2.104666814
Mean0.7486978238
Median Absolute Deviation (MAD)0
Skewness1.509679371
Sum41972
Variance1.059377708
MonotonicityNot monotonic
2024-12-15T14:13:25.009896image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 30773
54.8%
1 14330
25.5%
2 6886
 
12.3%
3 2739
 
4.9%
4 1032
 
1.8%
5 275
 
0.5%
6 25
 
< 0.1%
(Missing) 67
 
0.1%
ValueCountFrequency (%)
0 30773
54.8%
1 14330
25.5%
2 6886
 
12.3%
3 2739
 
4.9%
4 1032
 
1.8%
ValueCountFrequency (%)
6 25
 
< 0.1%
5 275
 
0.5%
4 1032
 
1.8%
3 2739
 
4.9%
2 6886
12.3%

Yellowred Cards - away
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing21284
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean0.01148006773
Minimum0
Maximum2
Zeros34482
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:25.124073image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1165644841
Coefficient of variation (CV)10.15364079
Kurtosis139.6263215
Mean0.01148006773
Median Absolute Deviation (MAD)0
Skewness11.19336462
Sum400
Variance0.01358727894
MonotonicityNot monotonic
2024-12-15T14:13:25.247437image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 34482
61.4%
1 322
 
0.6%
2 39
 
0.1%
(Missing) 21284
37.9%
ValueCountFrequency (%)
0 34482
61.4%
1 322
 
0.6%
2 39
 
0.1%
ValueCountFrequency (%)
2 39
 
0.1%
1 322
 
0.6%
0 34482
61.4%

Yellowred Cards - home
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing21277
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean0.005767575323
Minimum0
Maximum1
Zeros34649
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:25.370295image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07572631607
Coefficient of variation (CV)13.12966226
Kurtosis168.4132194
Mean0.005767575323
Median Absolute Deviation (MAD)0
Skewness13.05387124
Sum201
Variance0.005734474945
MonotonicityNot monotonic
2024-12-15T14:13:25.485759image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 34649
61.7%
1 201
 
0.4%
(Missing) 21277
37.9%
ValueCountFrequency (%)
0 34649
61.7%
1 201
 
0.4%
ValueCountFrequency (%)
1 201
 
0.4%
0 34649
61.7%

current_state
Text

Distinct3
Distinct (%)< 0.1%
Missing38
Missing (%)0.1%
Memory size877.0 KiB
2024-12-15T14:13:25.565946image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters56089
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX
ValueCountFrequency (%)
x 27830
49.6%
1 15637
27.9%
2 12622
22.5%
2024-12-15T14:13:25.775036image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
X 27830
49.6%
1 15637
27.9%
2 12622
22.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 56089
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
X 27830
49.6%
1 15637
27.9%
2 12622
22.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 56089
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
X 27830
49.6%
1 15637
27.9%
2 12622
22.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 56089
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
X 27830
49.6%
1 15637
27.9%
2 12622
22.5%

final_score
Text

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:25.930710image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters168381
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2-1
2nd row2-1
3rd row2-1
4th row2-1
5th row2-1
ValueCountFrequency (%)
1-1 7204
12.8%
2-1 5601
 
10.0%
1-0 4879
 
8.7%
0-0 4466
 
8.0%
0-1 3642
 
6.5%
1-2 3376
 
6.0%
2-0 3308
 
5.9%
2-2 3187
 
5.7%
3-1 3153
 
5.6%
0-2 3066
 
5.5%
Other values (29) 14245
25.4%
2024-12-15T14:13:26.212209image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56127
33.3%
1 37981
22.6%
0 28423
16.9%
2 27159
16.1%
3 13421
 
8.0%
4 3961
 
2.4%
5 939
 
0.6%
6 240
 
0.1%
7 108
 
0.1%
8 22
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 168381
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 56127
33.3%
1 37981
22.6%
0 28423
16.9%
2 27159
16.1%
3 13421
 
8.0%
4 3961
 
2.4%
5 939
 
0.6%
6 240
 
0.1%
7 108
 
0.1%
8 22
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 168381
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 56127
33.3%
1 37981
22.6%
0 28423
16.9%
2 27159
16.1%
3 13421
 
8.0%
4 3961
 
2.4%
5 939
 
0.6%
6 240
 
0.1%
7 108
 
0.1%
8 22
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 168381
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 56127
33.3%
1 37981
22.6%
0 28423
16.9%
2 27159
16.1%
3 13421
 
8.0%
4 3961
 
2.4%
5 939
 
0.6%
6 240
 
0.1%
7 108
 
0.1%
8 22
 
< 0.1%

result
Text

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size877.0 KiB
2024-12-15T14:13:26.311875image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters56127
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 24148
43.0%
2 16588
29.6%
x 15391
27.4%
2024-12-15T14:13:26.539784image/svg+xmlMatplotlib v3.8.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 24148
43.0%
2 16588
29.6%
X 15391
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 56127
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 24148
43.0%
2 16588
29.6%
X 15391
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 56127
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 24148
43.0%
2 16588
29.6%
X 15391
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 56127
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 24148
43.0%
2 16588
29.6%
X 15391
27.4%